pysam: htslib interface for python

Author:Andreas Heger, Kevin Jacobs and contributors Date:May 26, 2022 Version:0.19.1

Pysam is a python module for reading, manipulating and writing genomic data sets.

Pysam is a wrapper of the htslib C-API and provides facilities to read and write SAM/BAM/VCF/BCF/BED/GFF/GTF/FASTA/FASTQ files as well as access to the command line functionality of the samtools and bcftools packages. The module supports compression and random access through indexing.

This module provides a low-level wrapper around the htslib C-API as using cython and a high-level, pythonic API for convenient access to the data within genomic file formats.

The current version wraps htslib-1.15.1, samtools-1.15.1, and bcftools-1.15.1.

To install the latest release, type:

pip install pysam

See the Installation notes for details.

Contents

Introduction

Pysam is a python module that makes it easy to read and manipulate mapped short read sequence data stored in SAM/BAM files. It is a lightweight wrapper of the htslib C-API.

This page provides a quick introduction in using pysam followed by the API. See Working with BAM/CRAM/SAM-formatted files for more detailed usage instructions.

To use the module to read a file in BAM format, create a AlignmentFile object:

import pysam
samfile = pysam.AlignmentFile("ex1.bam", "rb")

Once a file is opened you can iterate over all of the read mapping to a specified region using fetch(). Each iteration returns a AlignedSegment object which represents a single read along with its fields and optional tags:

for read in samfile.fetch('chr1', 100, 120):
    print(read)

samfile.close()

To give:

EAS56_57:6:190:289:82       0       99      <<<7<<<;<<<<<<<<8;;<7;4<;<;;;;;94<;     69      CTCAAGGTTGTTGCAAGGGGGTCTATGTGAACAAA     0       192     1
EAS56_57:6:190:289:82       0       99      <<<<<<;<<<<<<<<<<;<<;<<<<;8<6;9;;2;     137     AGGGGTGCAGAGCCGAGTCACGGGGTTGCCAGCAC     73      64      1
EAS51_64:3:190:727:308      0       102     <<<<<<<<<<<<<<<<<<<<<<<<<<<::<<<844     99      GGTGCAGAGCCGAGTCACGGGGTTGCCAGCACAGG     99      18      1
...

You can also write to a AlignmentFile:

import pysam
samfile = pysam.AlignmentFile("ex1.bam", "rb")
pairedreads = pysam.AlignmentFile("allpaired.bam", "wb", template=samfile)
for read in samfile.fetch():
    if read.is_paired:
        pairedreads.write(read)

pairedreads.close()
samfile.close()

An alternative way of accessing the data in a SAM file is by iterating over each base of a specified region using the pileup() method. Each iteration returns a PileupColumn which represents all the reads in the SAM file that map to a single base in the reference sequence. The list of reads are represented as PileupRead objects in the PileupColumn.pileups property:

import pysam
samfile = pysam.AlignmentFile("ex1.bam", "rb" )
for pileupcolumn in samfile.pileup("chr1", 100, 120):
    print("\ncoverage at base %s = %s" % (pileupcolumn.pos, pileupcolumn.n))
    for pileupread in pileupcolumn.pileups:
        if not pileupread.is_del and not pileupread.is_refskip:
            # query position is None if is_del or is_refskip is set.
            print('\tbase in read %s = %s' %
                  (pileupread.alignment.query_name,
                   pileupread.alignment.query_sequence[pileupread.query_position]))

samfile.close()

The above code outputs:

coverage at base 99 = 1
    base in read EAS56_57:6:190:289:82 = A

coverage at base 100 = 1
    base in read EAS56_57:6:190:289:82 = G

coverage at base 101 = 1
    base in read EAS56_57:6:190:289:82 = G

coverage at base 102 = 2
    base in read EAS56_57:6:190:289:82 = G
    base in read EAS51_64:3:190:727:308 = G
...

Commands available in samtools are available as simple function calls. For example:

pysam.sort("-o", "output.bam", "ex1.bam")

corresponds to the command line:

samtools sort -o output.bam ex1.bam

Analogous to AlignmentFile, a TabixFile allows fast random access to compressed and tabix indexed tab-separated file formats with genomic data:

import pysam
tabixfile = pysam.TabixFile("example.gtf.gz")

for gtf in tabixfile.fetch("chr1", 1000, 2000):
    print(gtf.contig, gtf.start, gtf.end, gtf.gene_id)

TabixFile implements lazy parsing in order to iterate over large tables efficiently.

More detailed usage instructions is at Working with BAM/CRAM/SAM-formatted files.

Note

Coordinates in pysam are always 0-based (following the python convention). SAM text files use 1-based coordinates.

Note

The above examples can be run in the tests directory of the

installation directory. Type ‘make’ before running them.

See also

https://github.com/pysam-developers/pysam

The pysam code repository, containing source code and download instructions

http://pysam.readthedocs.org/en/latest/

The pysam website containing documentation

API

SAM/BAM/CRAM files

Objects of type AlignmentFile allow working with BAM/SAM formatted files.

class pysam.AlignmentFile

AlignmentFile(filepath_or_object, mode=None, template=None, reference_names=None, reference_lengths=None, text=NULL, header=None, add_sq_text=False, check_header=True, check_sq=True, reference_filename=None, filename=None, index_filename=None, filepath_index=None, require_index=False, duplicate_filehandle=True, ignore_truncation=False, threads=1)

A SAM/BAM/CRAM formatted file.

If filepath_or_object is a string, the file is automatically opened. If filepath_or_object is a python File object, the already opened file will be used.

If the file is opened for reading and an index exists (if file is BAM, a .bai file or if CRAM a .crai file), it will be opened automatically. index_filename may be specified explicitly. If the index is not named in the standard manner, not located in the same directory as the BAM/CRAM file, or is remote. Without an index, random access via fetch() and pileup() is disabled.

For writing, the header of a SAM file/BAM file can be constituted from several sources (see also the samtools format specification):

1. If template is given, the header is copied from another AlignmentFile (template must be a AlignmentFile).
2. If header is given, the header is built from a multi-level dictionary.
3. If text is given, new header text is copied from raw text.
4. The names (reference_names) and lengths (reference_lengths) are supplied directly as lists.

When reading or writing a CRAM file, the filename of a FASTA-formatted reference can be specified with reference_filename.

By default, if a file is opened in mode ‘r’, it is checked for a valid header (check_header = True) and a definition of chromosome names (check_sq = True).

Parameters:

• mode (string) –

  mode should be r for reading or w for writing. The default is text mode (SAM). For binary (BAM) I/O you should append b for compressed or u for uncompressed BAM output. Use h to output header information in text (TAM) mode. Use c for CRAM formatted files.

  If b is present, it must immediately follow r or w. Valid modes are r, w, wh, rb, wb, wbu, wb0, rc and wc. For instance, to open a BAM formatted file for reading, type:

  f = pysam.AlignmentFile('ex1.bam','rb')
  

  If mode is not specified, the method will try to auto-detect in the order ‘rb’, ‘r’, thus both the following should work:

  f1 = pysam.AlignmentFile('ex1.bam')
  f2 = pysam.AlignmentFile('ex1.sam')
  

• template (AlignmentFile) – when writing, copy header from file template.
• header (dict or AlignmentHeader) – when writing, build header from a multi-level dictionary. The first level are the four types (‘HD’, ‘SQ’, …). The second level are a list of lines, with each line being a list of tag-value pairs. The header is constructed first from all the defined fields, followed by user tags in alphabetical order. Alternatively, an AlignmentHeader object can be passed directly.
• text (string) – when writing, use the string provided as the header
• reference_names (list) – see reference_lengths
• reference_lengths (list) – when writing or opening a SAM file without header build header from list of chromosome names and lengths. By default, ‘SQ’ and ‘LN’ tags will be added to the header text. This option can be changed by unsetting the flag add_sq_text.
• add_sq_text (bool) – do not add ‘SQ’ and ‘LN’ tags to header. This option permits construction SAM formatted files without a header.
• add_sam_header (bool) – when outputting SAM the default is to output a header. This is equivalent to opening the file in ‘wh’ mode. If this option is set to False, no header will be output. To read such a file, set check_header=False.
• check_header (bool) – obsolete: when reading a SAM file, check if header is present (default=True)
• check_sq (bool) – when reading, check if SQ entries are present in header (default=True)
• reference_filename (string) – Path to a FASTA-formatted reference file. Valid only for CRAM files. When reading a CRAM file, this overrides both $REF_PATH and the URL specified in the header (UR tag), which are normally used to find the reference.
• index_filename (string) – Explicit path to the index file. Only needed if the index is not named in the standard manner, not located in the same directory as the BAM/CRAM file, or is remote. An IOError is raised if the index cannot be found or is invalid.
• filepath_index (string) – Alias for index_filename.
• require_index (bool) – When reading, require that an index file is present and is valid or raise an IOError. (default=False)
• filename (string) – Alternative to filepath_or_object. Filename of the file to be opened.
• duplicate_filehandle (bool) – By default, file handles passed either directly or through File-like objects will be duplicated before passing them to htslib. The duplication prevents issues where the same stream will be closed by htslib and through destruction of the high-level python object. Set to False to turn off duplication.
• ignore_truncation (bool) – Issue a warning, instead of raising an error if the current file appears to be truncated due to a missing EOF marker. Only applies to bgzipped formats. (Default=False)
• format_options (list) – A list of key=value strings, as accepted by –input-fmt-option and –output-fmt-option in samtools.
• threads (integer) – Number of threads to use for compressing/decompressing BAM/CRAM files. Setting threads to > 1 cannot be combined with ignore_truncation. (Default=1)

check_index(self)

return True if index is present.

Raises:

• AttributeError – if htsfile is SAM formatted and thus has no index.
• ValueError – if htsfile is closed or index could not be opened.

close(self)

closes the pysam.AlignmentFile.

count(self, contig=None, start=None, stop=None, region=None, until_eof=False, read_callback='nofilter', reference=None, end=None)

count the number of reads in region

The region is specified by contig, start and stop. reference and end are also accepted for backward compatibility as synonyms for contig and stop, respectively. Alternatively, a samtools region string can be supplied.

A SAM file does not allow random access and if region or contig are given, an exception is raised.

Parameters:

• contig (string) – reference_name of the genomic region (chromosome)
• start (int) – start of the genomic region (0-based inclusive)
• stop (int) – end of the genomic region (0-based exclusive)
• region (string) – a region string in samtools format.
• until_eof (bool) – count until the end of the file, possibly including unmapped reads as well.
• read_callback (string or function) –

  select a call-back to ignore reads when counting. It can be either a string with the following values:

  all

  skip reads in which any of the following flags are set: BAM_FUNMAP, BAM_FSECONDARY, BAM_FQCFAIL, BAM_FDUP

  nofilter

  uses every single read

  Alternatively, read_callback can be a function check_read(read) that should return True only for those reads that shall be included in the counting.

• reference (string) – backward compatible synonym for contig
• end (int) – backward compatible synonym for stop

Raises:

ValueError – if the genomic coordinates are out of range or invalid.

count_coverage(self, contig, start=None, stop=None, region=None, quality_threshold=15, read_callback='all', reference=None, end=None)

count the coverage of genomic positions by reads in region.

The region is specified by contig, start and stop. reference and end are also accepted for backward compatibility as synonyms for contig and stop, respectively. Alternatively, a samtools region string can be supplied. The coverage is computed per-base [ACGT].

Parameters:

• contig (string) – reference_name of the genomic region (chromosome)
• start (int) – start of the genomic region (0-based inclusive). If not given, count from the start of the chromosome.
• stop (int) – end of the genomic region (0-based exclusive). If not given, count to the end of the chromosome.
• region (string) – a region string.
• quality_threshold (int) – quality_threshold is the minimum quality score (in phred) a base has to reach to be counted.
• read_callback (string or function) –

  select a call-back to ignore reads when counting. It can be either a string with the following values:

  all

  skip reads in which any of the following flags are set: BAM_FUNMAP, BAM_FSECONDARY, BAM_FQCFAIL, BAM_FDUP

  nofilter

  uses every single read

  Alternatively, read_callback can be a function check_read(read) that should return True only for those reads that shall be included in the counting.

• reference (string) – backward compatible synonym for contig
• end (int) – backward compatible synonym for stop

Raises:

ValueError – if the genomic coordinates are out of range or invalid.

Returns:

four array.arrays of the same length in order A C G T

Return type:

tuple

fetch(self, contig=None, start=None, stop=None, region=None, tid=None, until_eof=False, multiple_iterators=False, reference=None, end=None)

fetch reads aligned in a region.

See parse_region() for more information on how genomic regions can be specified. reference and end are also accepted for backward compatibility as synonyms for contig and stop, respectively.

Without a contig or region all mapped reads in the file will be fetched. The reads will be returned ordered by reference sequence, which will not necessarily be the order within the file. This mode of iteration still requires an index. If there is no index, use until_eof=True.

If only contig is set, all reads aligned to contig will be fetched.

A SAM file does not allow random access. If region or contig are given, an exception is raised.

Parameters:

• until_eof (bool) – If until_eof is True, all reads from the current file position will be returned in order as they are within the file. Using this option will also fetch unmapped reads.
• multiple_iterators (bool) – If multiple_iterators is True, multiple iterators on the same file can be used at the same time. The iterator returned will receive its own copy of a filehandle to the file effectively re-opening the file. Re-opening a file creates some overhead, so beware.

Returns:

An iterator over a collection of reads.

Return type:

IteratorRow

Raises:

ValueError – if the genomic coordinates are out of range or invalid or the file does not permit random access to genomic coordinates.

find_introns(self, read_iterator)

Return a dictionary {(start, stop): count} Listing the intronic sites in the reads (identified by ‘N’ in the cigar strings), and their support ( = number of reads ).

read_iterator can be the result of a .fetch(…) call. Or it can be a generator filtering such reads. Example samfile.find_introns((read for read in samfile.fetch(…) if read.is_reverse)

find_introns_slow(self, read_iterator)

Return a dictionary {(start, stop): count} Listing the intronic sites in the reads (identified by ‘N’ in the cigar strings), and their support ( = number of reads ).

read_iterator can be the result of a .fetch(…) call. Or it can be a generator filtering such reads. Example samfile.find_introns((read for read in samfile.fetch(…) if read.is_reverse)

get_index_statistics(self)

return statistics about mapped/unmapped reads per chromosome as they are stored in the index, similarly to the statistics printed by the samtools idxstats command.

CRAI indexes do not record these statistics, so for a CRAM file with a .crai index the returned statistics will all be 0.

Returns:a list of records for each chromosome. Each record has the attributes ‘contig’, ‘mapped’, ‘unmapped’ and ‘total’. Return type:list

get_reference_length(self, reference)

return reference length corresponding to numerical tid

get_reference_name(self, tid)

return reference name corresponding to numerical tid

get_tid(self, reference)

return the numerical tid corresponding to reference

returns -1 if reference is not known.

getrname(self, tid)

deprecated, use get_reference_name() instead

gettid(self, reference)

deprecated, use get_tid() instead

has_index(self)

return true if htsfile has an existing (and opened) index.

head(self, n, multiple_iterators=True)

return an iterator over the first n alignments.

This iterator is is useful for inspecting the bam-file.

Parameters:multiple_iterators (bool) – is set to True by default in order to avoid changing the current file position. Returns:an iterator over a collection of reads Return type:IteratorRowHead

is_valid_tid(self, int tid)

return True if the numerical tid is valid; False otherwise.

Note that the unmapped tid code (-1) counts as an invalid.

lengths

tuple of the lengths of the reference sequences. This is a read-only attribute. The lengths are in the same order as pysam.AlignmentFile.references

mapped

int with total number of mapped alignments according to the statistics recorded in the index. This is a read-only attribute. (This will be 0 for a CRAM file indexed by a .crai index, as that index format does not record these statistics.)

mate(self, AlignedSegment read)

return the mate of pysam.AlignedSegment read.

Note

Calling this method will change the file position. This might interfere with any iterators that have not re-opened the file.

Note

This method is too slow for high-throughput processing. If a read needs to be processed with its mate, work from a read name sorted file or, better, cache reads.

Returns:the mate Return type:AlignedSegment Raises:ValueError – if the read is unpaired or the mate is unmapped

next

nocoordinate

int with total number of reads without coordinates according to the statistics recorded in the index, i.e., the statistic printed for “*” by the samtools idxstats command. This is a read-only attribute. (This will be 0 for a CRAM file indexed by a .crai index, as that index format does not record these statistics.)

nreferences

int with the number of reference sequences in the file. This is a read-only attribute.

pileup(self, contig=None, start=None, stop=None, region=None, reference=None, end=None, **kwargs)

perform a pileup within a region. The region is specified by contig, start and stop (using 0-based indexing). reference and end are also accepted for backward compatibility as synonyms for contig and stop, respectively. Alternatively, a samtools ‘region’ string can be supplied.

Without ‘contig’ or ‘region’ all reads will be used for the pileup. The reads will be returned ordered by contig sequence, which will not necessarily be the order within the file.

Note that SAM formatted files do not allow random access. In these files, if a ‘region’ or ‘contig’ are given an exception is raised.

Note

‘all’ reads which overlap the region are returned. The first base returned will be the first base of the first read ‘not’ necessarily the first base of the region used in the query.

Parameters:

• truncate (bool) – By default, the samtools pileup engine outputs all reads overlapping a region. If truncate is True and a region is given, only columns in the exact region specified are returned.
• max_depth (int) – Maximum read depth permitted. The default limit is ‘8000’.
• stepper (string) –

  The stepper controls how the iterator advances. Possible options for the stepper are

  all

  skip reads in which any of the following flags are set: BAM_FUNMAP, BAM_FSECONDARY, BAM_FQCFAIL, BAM_FDUP

  nofilter

  uses every single read turning off any filtering.

  samtools

  same filter and read processing as in samtools pileup. For full compatibility, this requires a ‘fastafile’ to be given. The following options all pertain to filtering of the samtools stepper.

• fastafile (FastaFile object.) – This is required for some of the steppers.
• ignore_overlaps (bool) – If set to True, detect if read pairs overlap and only take the higher quality base. This is the default.
• flag_filter (int) – ignore reads where any of the bits in the flag are set. The default is BAM_FUNMAP | BAM_FSECONDARY | BAM_FQCFAIL | BAM_FDUP.
• flag_require (int) – only use reads where certain flags are set. The default is 0.
• ignore_orphans (bool) – ignore orphans (paired reads that are not in a proper pair). The default is to ignore orphans.
• min_base_quality (int) – Minimum base quality. Bases below the minimum quality will not be output. The default is 13.
• adjust_capq_threshold (int) – adjust mapping quality. The default is 0 for no adjustment. The recommended value for adjustment is 50.
• min_mapping_quality (int) – only use reads above a minimum mapping quality. The default is 0.
• compute_baq (bool) – re-alignment computing per-Base Alignment Qualities (BAQ). The default is to do re-alignment. Realignment requires a reference sequence. If none is present, no realignment will be performed.
• redo_baq (bool) – recompute per-Base Alignment Quality on the fly ignoring existing base qualities. The default is False (use existing base qualities).

Returns:

an iterator over genomic positions.

Return type:

IteratorColumn

references

tuple with the names of reference sequences. This is a read-only attribute

text

deprecated, use references and lengths instead

unmapped

int with total number of unmapped reads according to the statistics recorded in the index. This number of reads includes the number of reads without coordinates. This is a read-only attribute. (This will be 0 for a CRAM file indexed by a .crai index, as that index format does not record these statistics.)

write(self, AlignedSegment read) → int

write a single pysam.AlignedSegment to disk.

Raises:ValueError – if the writing failed Returns:the number of bytes written. If the file is closed, this will be 0. Return type:int

class pysam.AlignmentHeader

header information for a AlignmentFile object

Parameters:

• header_dict (dict) – build header from a multi-level dictionary. The first level are the four types (‘HD’, ‘SQ’, …). The second level are a list of lines, with each line being a list of tag-value pairs. The header is constructed first from all the defined fields, followed by user tags in alphabetical order. Alternatively, an AlignmentHeader object can be passed directly.
• text (string) – use the string provided as the header
• reference_names (list) – see reference_lengths
• reference_lengths (list) – build header from list of chromosome names and lengths. By default, ‘SQ’ and ‘LN’ tags will be added to the header text. This option can be changed by unsetting the flag add_sq_text.
• add_sq_text (bool) – do not add ‘SQ’ and ‘LN’ tags to header. This option permits construction SAM formatted files without a header.

as_dict(self)

deprecated, use to_dict() instead

copy(self)

from_dict(type cls, header_dict)

from_references(type cls, reference_names, reference_lengths, text=None, add_sq_text=True)

from_text(type cls, text)

get(self, *args)

get_reference_length(self, reference)

get_reference_name(self, tid)

get_tid(self, reference)

return the numerical tid corresponding to reference

returns -1 if reference is not known.

is_valid_tid(self, int tid)

return True if the numerical tid is valid; False otherwise.

Note that the unmapped tid code (-1) counts as an invalid.

items(self)

iteritems(self)

keys(self)

lengths

tuple of the lengths of the reference sequences. This is a read-only attribute. The lengths are in the same order as pysam.AlignmentFile.references

nreferences

int with the number of reference sequences in the file.

This is a read-only attribute.

references

tuple with the names of reference sequences. This is a read-only attribute

to_dict(self)

return two-level dictionary with header information from the file.

The first level contains the record (HD, SQ, etc) and the second level contains the fields (VN, LN, etc).

The parser is validating and will raise an AssertionError if if encounters any record or field tags that are not part of the SAM specification. Use the pysam.AlignmentFile.text attribute to get the unparsed header.

The parsing follows the SAM format specification with the exception of the CL field. This option will consume the rest of a header line irrespective of any additional fields. This behaviour has been added to accommodate command line options that contain characters that are not valid field separators.

If no @SQ entries are within the text section of the header, this will be automatically added from the reference names and lengths stored in the binary part of the header.

values(self)

An AlignedSegment represents an aligned segment within a SAM/BAM file.

class pysam.AlignedSegment(AlignmentHeader header=None)

Class representing an aligned segment.

This class stores a handle to the samtools C-structure representing an aligned read. Member read access is forwarded to the C-structure and converted into python objects. This implementation should be fast, as only the data needed is converted.

For write access, the C-structure is updated in-place. This is not the most efficient way to build BAM entries, as the variable length data is concatenated and thus needs to be resized if a field is updated. Furthermore, the BAM entry might be in an inconsistent state.

One issue to look out for is that the sequence should always be set before the quality scores. Setting the sequence will also erase any quality scores that were set previously.

Parameters:header – AlignmentHeader object to map numerical identifiers to chromosome names. If not given, an empty header is created.

aend

deprecated, use reference_end instead.

alen

deprecated, use reference_length instead.

aligned_pairs

deprecated, use get_aligned_pairs() instead.

bin

properties bin

blocks

deprecated, use get_blocks() instead.

cigar

deprecated, use cigarstring or cigartuples instead.

cigarstring

the cigar alignment as a string.

The cigar string is a string of alternating integers and characters denoting the length and the type of an operation.

Note

The order length,operation is specified in the SAM format. It is different from the order of the cigar property.

Returns None if not present.

To unset the cigarstring, assign None or the empty string.

cigartuples

the cigar alignment. The alignment is returned as a list of tuples of (operation, length).

If the alignment is not present, None is returned.

The operations are:

M	BAM_CMATCH	0
I	BAM_CINS	1
D	BAM_CDEL	2
N	BAM_CREF_SKIP	3
S	BAM_CSOFT_CLIP	4
H	BAM_CHARD_CLIP	5
P	BAM_CPAD	6
=	BAM_CEQUAL	7
X	BAM_CDIFF	8
B	BAM_CBACK	9

Note

The output is a list of (operation, length) tuples, such as [(0, 30)]. This is different from the SAM specification and the cigarstring property, which uses a (length, operation) order, for example: 30M.

To unset the cigar property, assign an empty list or None.

compare(self, AlignedSegment other)

return -1,0,1, if contents in this are binary <,=,> to other

flag

properties flag

from_dict(type cls, sam_dict, AlignmentHeader header)

parses a dictionary representation of the aligned segment.

Parameters:sam_dict – dictionary of alignment values, keys corresponding to output from todict().

fromstring(type cls, sam, AlignmentHeader header)

parses a string representation of the aligned segment.

The input format should be valid SAM format.

Parameters:sam – SAM formatted string

get_aligned_pairs(self, matches_only=False, with_seq=False)

a list of aligned read (query) and reference positions.

For inserts, deletions, skipping either query or reference position may be None.

For padding in the reference, the reference position will always be None.

Parameters:

• matches_only (bool) – If True, only matched bases are returned - no None on either side.
• with_seq (bool) – If True, return a third element in the tuple containing the reference sequence. For CIGAR ‘P’ (padding in the reference) operations, the third tuple element will be None. Substitutions are lower-case. This option requires an MD tag to be present.

Returns:

aligned_pairs

Return type:

list of tuples

get_blocks(self)

a list of start and end positions of aligned gapless blocks.

The start and end positions are in genomic coordinates.

Blocks are not normalized, i.e. two blocks might be directly adjacent. This happens if the two blocks are separated by an insertion in the read.

get_cigar_stats(self)

summary of operations in cigar string.

The output order in the array is “MIDNSHP=X” followed by a field for the NM tag. If the NM tag is not present, this field will always be 0.

M	BAM_CMATCH	0
I	BAM_CINS	1
D	BAM_CDEL	2
N	BAM_CREF_SKIP	3
S	BAM_CSOFT_CLIP	4
H	BAM_CHARD_CLIP	5
P	BAM_CPAD	6
=	BAM_CEQUAL	7
X	BAM_CDIFF	8
B	BAM_CBACK	9
NM	NM tag	10

If no cigar string is present, empty arrays will be returned.

Returns:two arrays. The first contains the nucleotide counts within each cigar operation, the second contains the number of blocks for each cigar operation. Return type:arrays

get_forward_qualities(self)

return the original base qualities of the read sequence, in the same format as the query_qualities property.

Reads mapped to the reverse strand have their base qualities stored reversed in the BAM file. This method returns such reads’ base qualities reversed back to their original orientation.

get_forward_sequence(self)

return the original read sequence.

Reads mapped to the reverse strand are stored reverse complemented in the BAM file. This method returns such reads reverse complemented back to their original orientation.

Returns None if the record has no query sequence.

get_overlap(self, uint32_t start, uint32_t end)

return number of aligned bases of read overlapping the interval start and end on the reference sequence.

Return None if cigar alignment is not available.

get_reference_positions(self, full_length=False)

a list of reference positions that this read aligns to.

By default, this method only returns positions in the reference that are within the alignment. If full_length is set, None values will be included for any soft-clipped or unaligned positions within the read. The returned list will thus be of the same length as the read.

get_reference_sequence(self)

return the reference sequence in the region that is covered by the alignment of the read to the reference.

This method requires the MD tag to be set.

get_tag(self, tag, with_value_type=False)

retrieves data from the optional alignment section given a two-letter tag denoting the field.

The returned value is cast into an appropriate python type.

This method is the fastest way to access the optional alignment section if only few tags need to be retrieved.

Possible value types are “AcCsSiIfZHB” (see BAM format specification) as well as additional value type ‘d’ as implemented in htslib.

Parameters:

• tag – data tag.
• with_value_type – Optional[bool] if set to True, the return value is a tuple of (tag value, type code). (default False)

Returns:

A python object with the value of the tag. The type of the object depends on the data type in the data record.

Raises:

KeyError – If tag is not present, a KeyError is raised.

get_tags(self, with_value_type=False)

the fields in the optional alignment section.

Returns a list of all fields in the optional alignment section. Values are converted to appropriate python values. For example: [(NM, 2), (RG, "GJP00TM04")]

If with_value_type is set, the value type as encode in the AlignedSegment record will be returned as well:

[(NM, 2, “i”), (RG, “GJP00TM04”, “Z”)]

This method will convert all values in the optional alignment section. When getting only one or few tags, please see get_tag() for a quicker way to achieve this.

has_tag(self, tag)

returns true if the optional alignment section contains a given tag.

infer_query_length(self, always=False)

infer query length from CIGAR alignment.

This method deduces the query length from the CIGAR alignment but does not include hard-clipped bases.

Returns None if CIGAR alignment is not present.

If always is set to True, infer_read_length is used instead. This is deprecated and only present for backward compatibility.

infer_read_length(self)

infer read length from CIGAR alignment.

This method deduces the read length from the CIGAR alignment including hard-clipped bases.

Returns None if CIGAR alignment is not present.

inferred_length

deprecated, use infer_query_length() instead.

is_duplicate

true if optical or PCR duplicate

is_forward

true if read is mapped to forward strand (implemented in terms of is_reverse)

is_mapped

true if read itself is mapped (implemented in terms of is_unmapped)

is_paired

true if read is paired in sequencing

is_proper_pair

true if read is mapped in a proper pair

is_qcfail

true if QC failure

is_read1

true if this is read1

is_read2

true if this is read2

is_reverse

true if read is mapped to reverse strand

is_secondary

true if not primary alignment

is_supplementary

true if this is a supplementary alignment

is_unmapped

true if read itself is unmapped

isize

deprecated, use template_length instead.

mapping_quality

mapping quality

mapq

deprecated, use mapping_quality instead.

mate_is_forward

true if the mate is mapped to forward strand (implemented in terms of mate_is_reverse)

mate_is_mapped

true if the mate is mapped (implemented in terms of mate_is_unmapped)

mate_is_reverse

true if the mate is mapped to reverse strand

mate_is_unmapped

true if the mate is unmapped

modified_bases

Modified bases annotations from Ml/Mm tags. The output is Dict[(canonical base, strand, modification)] -> [ (pos,qual), …] with qual being (256*probability), or -1 if unknown. Strand==0 for forward and 1 for reverse strand modification

modified_bases_forward

Modified bases annotations from Ml/Mm tags. The output is Dict[(canonical base, strand, modification)] -> [ (pos,qual), …] with qual being (256*probability), or -1 if unknown. Strand==0 for forward and 1 for reverse strand modification. The positions are with respect to the original sequence from get_forward_sequence()

mpos

deprecated, use next_reference_start instead.

mrnm

deprecated, use next_reference_id instead.

next_reference_id

the reference id of the mate/next read.

next_reference_name

reference name of the mate/next read (None if no AlignmentFile is associated)

next_reference_start

the position of the mate/next read.

opt(self, tag)

deprecated, use get_tag() instead.

overlap(self)

deprecated, use get_overlap() instead.

pnext

deprecated, use next_reference_start instead.

pos

deprecated, use reference_start instead.

positions

deprecated, use get_reference_positions() instead.

qend

deprecated, use query_alignment_end instead.

qlen

deprecated, use query_alignment_length instead.

qname

deprecated, use query_name instead.

qqual

deprecated, use query_alignment_qualities instead.

qstart

deprecated, use query_alignment_start instead.

qual

deprecated, use query_qualities instead.

query

deprecated, use query_alignment_sequence instead.

query_alignment_end

end index of the aligned query portion of the sequence (0-based, exclusive)

This the index just past the last base in query_sequence that is not soft-clipped.

query_alignment_length

length of the aligned query sequence.

This is equal to query_alignment_end - query_alignment_start

query_alignment_qualities

aligned query sequence quality values (None if not present). These are the quality values that correspond to query_alignment_sequence, that is, they exclude qualities of soft clipped bases. This is equal to query_qualities[query_alignment_start:query_alignment_end].

Quality scores are returned as a python array of unsigned chars. Note that this is not the ASCII-encoded value typically seen in FASTQ or SAM formatted files. Thus, no offset of 33 needs to be subtracted.

This property is read-only.

query_alignment_sequence

aligned portion of the read.

This is a substring of query_sequence that excludes flanking bases that were soft clipped (None if not present). It is equal to query_sequence[query_alignment_start:query_alignment_end].

SAM/BAM files may include extra flanking bases that are not part of the alignment. These bases may be the result of the Smith-Waterman or other algorithms, which may not require alignments that begin at the first residue or end at the last. In addition, extra sequencing adapters, multiplex identifiers, and low-quality bases that were not considered for alignment may have been retained.

query_alignment_start

start index of the aligned query portion of the sequence (0-based, inclusive).

This the index of the first base in query_sequence that is not soft-clipped.

query_length

the length of the query/read.

This value corresponds to the length of the sequence supplied in the BAM/SAM file. The length of a query is 0 if there is no sequence in the BAM/SAM file. In those cases, the read length can be inferred from the CIGAR alignment, see pysam.AlignedSegment.infer_query_length().

The length includes soft-clipped bases and is equal to len(query_sequence).

This property is read-only but is updated when a new query sequence is assigned to this AlignedSegment.

Returns 0 if not available.

query_name

the query template name (None if not present)

query_qualities

read sequence base qualities, including soft clipped bases (None if not present).

Quality scores are returned as a python array of unsigned chars. Note that this is not the ASCII-encoded value typically seen in FASTQ or SAM formatted files. Thus, no offset of 33 needs to be subtracted.

Note that to set quality scores the sequence has to be set beforehand as this will determine the expected length of the quality score array.

This method raises a ValueError if the length of the quality scores and the sequence are not the same.

query_sequence

read sequence bases, including soft clipped bases (None if not present).

Assigning to this attribute will invalidate any quality scores. Thus, to in-place edit the sequence and quality scores, copies of the quality scores need to be taken. Consider trimming for example:

q = read.query_qualities
read.query_sequence = read.query_sequence[5:10]
read.query_qualities = q[5:10]

The sequence is returned as it is stored in the BAM file. (This will be the reverse complement of the original read sequence if the mapper has aligned the read to the reverse strand.)

reference_end

aligned reference position of the read on the reference genome.

reference_end points to one past the last aligned residue. Returns None if not available (read is unmapped or no cigar alignment present).

reference_id

reference ID

Note

This field contains the index of the reference sequence in the sequence dictionary. To obtain the name of the reference sequence, use get_reference_name()

reference_length

aligned length of the read on the reference genome.

This is equal to reference_end - reference_start. Returns None if not available.

reference_name

reference name

reference_start

0-based leftmost coordinate

rlen

deprecated, use query_length instead.

rname

deprecated, use reference_id instead.

rnext

deprecated, use next_reference_id instead.

seq

deprecated, use query_sequence instead.

setTag(self, tag, value, value_type=None, replace=True)

deprecated, use set_tag() instead.

set_tag(self, tag, value, value_type=None, replace=True)

sets a particular field tag to value in the optional alignment section.

value_type describes the type of value that is to entered into the alignment record. It can be set explicitly to one of the valid one-letter type codes. If unset, an appropriate type will be chosen automatically based on the python type of value.

An existing value of the same tag will be overwritten unless replace is set to False. This is usually not recommended as a tag may only appear once in the optional alignment section.

If value is None, the tag will be deleted.

This method accepts valid SAM specification value types, which are:

A: printable char
i: signed int
f: float
Z: printable string
H: Byte array in hex format
B: Integer or numeric array

Additionally, it will accept the integer BAM types (‘cCsSI’)

For htslib compatibility, ‘a’ is synonymous with ‘A’ and the method accepts a ‘d’ type code for a double precision float.

When deducing the type code by the python type of value, the following mapping is applied:

i: python int
f: python float
Z: python str or bytes
B: python array.array, list or tuple

Note that a single character string will be output as ‘Z’ and not ‘A’ as the former is the more general type.

set_tags(self, tags)

sets the fields in the optional alignment section with a list of (tag, value) tuples.

The value type of the values is determined from the python type. Optionally, a type may be given explicitly as a third value in the tuple, For example:

x.set_tags([(NM, 2, “i”), (RG, “GJP00TM04”, “Z”)]

This method will not enforce the rule that the same tag may appear only once in the optional alignment section.

tags

deprecated, use get_tags() instead.

template_length

the observed query template length

tid

deprecated, use reference_id instead.

tlen

deprecated, use template_length instead.

to_dict(self)

returns a json representation of the aligned segment.

Field names are abbreviated versions of the class attributes.

to_string(self)

returns a string representation of the aligned segment.

The output format is valid SAM format if a header is associated with the AlignedSegment.

tostring(self, htsfile=None)

deprecated, use to_string() instead.

Parameters:htsfile – (deprecated) AlignmentFile object to map numerical identifiers to chromosome names. This parameter is present for backwards compatibility and ignored.

class pysam.PileupColumn

A pileup of reads at a particular reference sequence position (column). A pileup column contains all the reads that map to a certain target base.

This class is a proxy for results returned by the samtools pileup engine. If the underlying engine iterator advances, the results of this column will change.

get_mapping_qualities(self)

query mapping quality scores at pileup column position.

Returns:a list of quality scores Return type:list

get_num_aligned(self)

return number of aligned bases at pileup column position.

This method applies a base quality filter and the number is equal to the size of get_query_sequences(), get_mapping_qualities(), etc.

get_query_names(self)

query/read names aligned at pileup column position.

Returns:a list of query names at pileup column position. Return type:list

get_query_positions(self)

positions in read at pileup column position.

Returns:a list of read positions Return type:list

get_query_qualities(self)

query base quality scores at pileup column position.

Returns:a list of quality scores Return type:list

get_query_sequences(self, bool mark_matches=False, bool mark_ends=False, bool add_indels=False)

query bases/sequences at pileup column position.

Optionally, the bases/sequences can be annotated according to the samtools mpileup format. This is the format description from the samtools mpileup tool:

Information on match, mismatch, indel, strand, mapping
quality and start and end of a read are all encoded at the
read base column. At this column, a dot stands for a match
to the reference base on the forward strand, a comma for a
match on the reverse strand, a '>' or '<' for a reference
skip, `ACGTN' for a mismatch on the forward strand and
`acgtn' for a mismatch on the reverse strand. A pattern
`\+[0-9]+[ACGTNacgtn]+' indicates there is an insertion
between this reference position and the next reference
position. The length of the insertion is given by the
integer in the pattern, followed by the inserted
sequence. Similarly, a pattern `-[0-9]+[ACGTNacgtn]+'
represents a deletion from the reference. The deleted bases
will be presented as `*' in the following lines. Also at
the read base column, a symbol `^' marks the start of a
read. The ASCII of the character following `^' minus 33
gives the mapping quality. A symbol `$' marks the end of a
read segment

To reproduce samtools mpileup format, set all of mark_matches, mark_ends and add_indels to True.

Parameters:

• mark_matches (bool) – If True, output bases matching the reference as “.” or “,” for forward and reverse strand, respectively. This mark requires the reference sequence. If no reference is present, this option is ignored.
• mark_ends (bool) – If True, add markers “^” and “$” for read start and end, respectively.
• add_indels (bool) – If True, add bases for bases inserted into or skipped from the reference. The latter requires a reference sequence file to have been given, e.g. via pileup(fastafile = …). If no reference sequence is available, skipped bases are represented as ‘N’s.

Returns:

a list of bases/sequences per read at pileup column position.

Return type:

list

n

deprecated, use nsegments instead.

nsegments

number of reads mapping to this column.

Note that this number ignores the base quality filter.

pileups

list of reads (pysam.PileupRead) aligned to this column

pos

deprecated, use reference_pos instead.

reference_id

the reference sequence number as defined in the header

reference_name

reference name (None if no AlignmentFile is associated)

reference_pos

the position in the reference sequence (0-based).

set_min_base_quality(self, min_base_quality)

set the minimum base quality for this pileup column.

tid

deprecated, use reference_id instead.

class pysam.PileupRead

Representation of a read aligned to a particular position in the reference sequence.

alignment

a pysam.AlignedSegment object of the aligned read

indel

indel length for the position following the current pileup site.

This quantity peeks ahead to the next cigar operation in this alignment. If the next operation is an insertion, indel will be positive. If the next operation is a deletion, it will be negation. 0 if the next operation is not an indel.

is_del

1 iff the base on the padded read is a deletion

is_head

1 iff the base on the padded read is the left-most base.

is_refskip

1 iff the base on the padded read is part of CIGAR N op.

is_tail

1 iff the base on the padded read is the right-most base.

level

the level of the read in the “viewer” mode. Note that this value is currently not computed.

query_position

position of the read base at the pileup site, 0-based. None if is_del or is_refskip is set.

query_position_or_next

position of the read base at the pileup site, 0-based.

If the current position is a deletion, returns the next aligned base.

class pysam.IndexedReads(AlignmentFile samfile, int multiple_iterators=True)

Index a Sam/BAM-file by query name while keeping the original sort order intact.

The index is kept in memory and can be substantial.

By default, the file is re-opened to avoid conflicts if multiple operators work on the same file. Set multiple_iterators = False to not re-open samfile.

Parameters:

• samfile (AlignmentFile) – File to be indexed.
• multiple_iterators (bool) – Flag indicating whether the file should be reopened. Reopening prevents existing iterators being affected by the indexing.

build(self)

build the index.

find(self, query_name)

find query_name in index.

Returns:Returns an iterator over all reads with query_name. Return type:IteratorRowSelection Raises:KeyError – if the query_name is not in the index.

Tabix files

TabixFile opens tabular files that have been indexed with tabix.

class pysam.TabixFile

Random access to bgzf formatted files that have been indexed by tabix.

The file is automatically opened. The index file of file <filename> is expected to be called <filename>.tbi by default (see parameter index).

Parameters:

• filename (string) – Filename of bgzf file to be opened.
• index (string) – The filename of the index. If not set, the default is to assume that the index is called filename.tbi
• mode (char) – The file opening mode. Currently, only r is permitted.
• parser (pysam.Parser) – sets the default parser for this tabix file. If parser is None, the results are returned as an unparsed string. Otherwise, parser is assumed to be a functor that will return parsed data (see for example asTuple and asGTF).
• encoding (string) – The encoding passed to the parser
• threads (integer) – Number of threads to use for decompressing Tabix files. (Default=1)

Raises:

• ValueError – if index file is missing.
• IOError – if file could not be opened

close(self)

closes the pysam.TabixFile.

contigs

list of chromosome names

fetch(self, reference=None, start=None, end=None, region=None, parser=None, multiple_iterators=False)

fetch one or more rows in a region using 0-based indexing. The region is specified by reference, start and end. Alternatively, a samtools region string can be supplied.

Without reference or region all entries will be fetched.

If only reference is set, all reads matching on reference will be fetched.

If parser is None, the default parser will be used for parsing.

Set multiple_iterators to true if you will be using multiple iterators on the same file at the same time. The iterator returned will receive its own copy of a filehandle to the file effectively re-opening the file. Re-opening a file creates some overhead, so beware.

header

the file header.

The file header consists of the lines at the beginning of a file that are prefixed by the comment character #.

Note

The header is returned as an iterator presenting lines without the newline character.

To iterate over tabix files, use tabix_iterator():

pysam.tabix_iterator(infile, parser)

return an iterator over all entries in a file.

Results are returned parsed as specified by the parser. If parser is None, the results are returned as an unparsed string. Otherwise, parser is assumed to be a functor that will return parsed data (see for example asTuple and asGTF).

pysam.tabix_compress(filename_in, filename_out, force=False)

compress filename_in writing the output to filename_out.

Raise an IOError if filename_out already exists, unless force is set.

pysam.tabix_index(filename, force=False, seq_col=None, start_col=None, end_col=None, preset=None, meta_char='#', int line_skip=0, zerobased=False, int min_shift=-1, index=None, keep_original=False, csi=False)

index tab-separated filename using tabix.

An existing index will not be overwritten unless force is set.

The index will be built from coordinates in columns seq_col, start_col and end_col.

The contents of filename have to be sorted by contig and position - the method does not check if the file is sorted.

Column indices are 0-based. Note that this is different from the tabix command line utility where column indices start at 1.

Coordinates in the file are assumed to be 1-based unless zerobased is set.

If preset is provided, the column coordinates are taken from a preset. Valid values for preset are “gff”, “bed”, “sam”, “vcf”, psltbl”, “pileup”.

Lines beginning with meta_char and the first line_skip lines will be skipped.

If filename is not detected as a gzip file it will be automatically compressed. The original file will be removed and only the compressed file will be retained.

By default or when min_shift is 0, creates a TBI index. If min_shift is greater than zero and/or csi is True, creates a CSI index with a minimal interval size of 1<<min_shift (1<<14 if only csi is set).

index controls the filename which should be used for creating the index. If not set, the default is to append .tbi to filename.

When automatically compressing files, if keep_original is set the uncompressed file will not be deleted.

returns the filename of the compressed data

class pysam.asTuple

converts a tabix row into a python tuple.

A field in a row is accessed by numeric index.

class pysam.asVCF

converts a tabix row into a VCF record with the following fields:

Column	Field	Contents
1	contig	chromosome
2	pos	chromosomal position, zero-based
3	id	id
4	ref	reference allele
5	alt	alternate alleles
6	qual	quality
7	filter	filter
8	info	info
9	format	format specifier.

Access to genotypes is via index:

contig = vcf.contig
first_sample_genotype = vcf[0]
second_sample_genotype = vcf[1]

class pysam.asBed

converts a tabix row into a bed record with the following fields:

Column	Field	Contents
1	contig	contig
2	start	genomic start coordinate (zero-based)
3	end	genomic end coordinate plus one (zero-based)
4	name	name of feature.
5	score	score of feature
6	strand	strand of feature
7	thickStart	thickStart
8	thickEnd	thickEnd
9	itemRGB	itemRGB
10	blockCount	number of bocks
11	blockSizes	‘,’ separated string of block sizes
12	blockStarts	‘,’ separated string of block genomic start positions

Only the first three fields are required. Additional fields are optional, but if one is defined, all the preceding need to be defined as well.

class pysam.asGTF

converts a tabix row into a GTF record with the following fields:

Column	Name	Content
1	contig	the chromosome name
2	feature	The feature type
3	source	The feature source
4	start	genomic start coordinate (0-based)
5	end	genomic end coordinate (0-based)
6	score	feature score
7	strand	strand
8	frame	frame
9	attributes	the attribute field

GTF formatted entries also define the following fields that are derived from the attributes field:

Name	Content
gene_id	the gene identifier
transcript_id	the transcript identifier

FASTA files

class pysam.FastaFile

Random access to fasta formatted files that have been indexed by faidx.

The file is automatically opened. The index file of file <filename> is expected to be called <filename>.fai.

Parameters:

• filename (string) – Filename of fasta file to be opened.
• filepath_index (string) – Optional, filename of the index. By default this is the filename + “.fai”.
• filepath_index_compressed (string) – Optional, filename of the index if fasta file is. By default this is the filename + “.gzi”.

Raises:

• ValueError – if index file is missing
• IOError – if file could not be opened

close(self)

close the file.

closed

bool indicating the current state of the file object. This is a read-only attribute; the close() method changes the value.

fetch(self, reference=None, start=None, end=None, region=None)

fetch sequences in a region.

A region can either be specified by reference, start and end. start and end denote 0-based, half-open intervals.

Alternatively, a samtools region string can be supplied.

If any of the coordinates are missing they will be replaced by the minimum (start) or maximum (end) coordinate.

Note that region strings are 1-based, while start and end denote an interval in python coordinates. The region is specified by reference, start and end.

Returns:

string

Return type:

a string with the sequence specified by the region.

Raises:

• IndexError – if the coordinates are out of range
• ValueError – if the region is invalid

filename

filename associated with this object. This is a read-only attribute.

get_reference_length(self, reference)

return the length of reference.

is_open(self)

return true if samfile has been opened.

lengths

tuple with the lengths of reference sequences.

nreferences

int with the number of reference sequences in the file. This is a read-only attribute.

references

tuple with the names of reference sequences.

FASTQ files

class pysam.FastxFile

Stream access to fasta or fastq formatted files.

The file is automatically opened.

Entries in the file can be both fastq or fasta formatted or even a mixture of the two.

This file object permits iterating over all entries in the file. Random access is not implemented. The iteration returns objects of type FastqProxy

Parameters:

• filename (string) – Filename of fasta/fastq file to be opened.
• persist (bool) – If True (default) make a copy of the entry in the file during iteration. If set to False, no copy will be made. This will permit much faster iteration, but an entry will not persist when the iteration continues and an entry is read-only.

Notes

Prior to version 0.8.2, this class was called FastqFile.

Raises:IOError – if file could not be opened

Examples

>>> with pysam.FastxFile(filename) as fh:
...    for entry in fh:
...        print(entry.name)
...        print(entry.sequence)
...        print(entry.comment)
...        print(entry.quality)
>>> with pysam.FastxFile(filename) as fin, open(out_filename, mode='w') as fout:
...    for entry in fin:
...        fout.write(str(entry) + '\n')

close(self)

close the file.

closed

bool indicating the current state of the file object. This is a read-only attribute; the close() method changes the value.

filename

string with the filename associated with this object.

is_open(self)

return true if samfile has been opened.

next

class pysam.FastqProxy

A single entry in a fastq file.

get_quality_array(self, int offset=33) → array

return quality values as integer array after subtracting offset.

name

The name of each entry in the fastq file.

quality

The quality score of each entry in the fastq file, represented as a string.

sequence

The sequence of each entry in the fastq file.

VCF/BCF files

class pysam.VariantFile(*args, **kwargs)

(filename, mode=None, index_filename=None, header=None, drop_samples=False, duplicate_filehandle=True, ignore_truncation=False, threads=1)

A VCF/BCF formatted file. The file is automatically opened.

If an index for a variant file exists (.csi or .tbi), it will be opened automatically. Without an index random access to records via fetch() is disabled.

For writing, a VariantHeader object must be provided, typically obtained from another VCF file/BCF file.

Parameters:

• mode (string) –

  mode should be r for reading or w for writing. The default is text mode (VCF). For binary (BCF) I/O you should append b for compressed or u for uncompressed BCF output.

  If b is present, it must immediately follow r or w. Valid modes are r, w, wh, rb, wb, wbu and wb0. For instance, to open a BCF formatted file for reading, type:

  f = pysam.VariantFile('ex1.bcf','r')
  

  If mode is not specified, we will try to auto-detect the file type. All of the following should work:

  f1 = pysam.VariantFile('ex1.bcf')
  f2 = pysam.VariantFile('ex1.vcf')
  f3 = pysam.VariantFile('ex1.vcf.gz')
  

• index_filename (string) – Explicit path to an index file.
• header (VariantHeader) – VariantHeader object required for writing.
• drop_samples (bool) – Ignore sample information when reading.
• duplicate_filehandle (bool) – By default, file handles passed either directly or through File-like objects will be duplicated before passing them to htslib. The duplication prevents issues where the same stream will be closed by htslib and through destruction of the high-level python object. Set to False to turn off duplication.
• ignore_truncation (bool) – Issue a warning, instead of raising an error if the current file appears to be truncated due to a missing EOF marker. Only applies to bgzipped formats. (Default=False)
• threads (integer) – Number of threads to use for compressing/decompressing VCF/BCF files. Setting threads to > 1 cannot be combined with ignore_truncation. (Default=1)

close(self)

closes the pysam.VariantFile.

copy(self)

fetch(self, contig=None, start=None, stop=None, region=None, reopen=False, end=None, reference=None)

fetch records in a region, specified either by contig, start, and end (which are 0-based, half-open); or alternatively by a samtools region string (which is 1-based inclusive).

Without contig or region all mapped records will be fetched. The records will be returned ordered by contig, which will not necessarily be the order within the file.

Set reopen to true if you will be using multiple iterators on the same file at the same time. The iterator returned will receive its own copy of a filehandle to the file effectively re-opening the file. Re-opening a file incurrs some overhead, so use with care.

If only contig is set, all records on contig will be fetched. If both region and contig are given, an exception is raised.

Note that a bgzipped VCF.gz file without a tabix/CSI index (.tbi/.csi) or a BCF file without a CSI index can only be read sequentially.

get_reference_name(self, tid)

return reference name corresponding to numerical tid

get_tid(self, reference)

return the numerical tid corresponding to reference

returns -1 if reference is not known.

is_valid_tid(self, tid)

return True if the numerical tid is valid; False otherwise.

returns -1 if reference is not known.

new_record(self, *args, **kwargs)

Create a new empty VariantRecord.

See VariantHeader.new_record()

next

open(self, filename, mode='r', index_filename=None, VariantHeader header=None, drop_samples=False, duplicate_filehandle=True, ignore_truncation=False, threads=1)

open a vcf/bcf file.

If open is called on an existing VariantFile, the current file will be closed and a new file will be opened.

reset(self)

reset file position to beginning of file just after the header.

subset_samples(self, include_samples)

Read only a subset of samples to reduce processing time and memory. Must be called prior to retrieving records.

write(self, VariantRecord record) → int

write a single pysam.VariantRecord to disk.

returns the number of bytes written.

class pysam.VariantHeader

header information for a VariantFile object

add_line(self, line)

Add a metadata line to this header

add_meta(self, key, value=None, items=None)

Add metadata to this header

add_record(self, VariantHeaderRecord record)

Add an existing VariantHeaderRecord to this header

add_sample(self, name)

Add a new sample to this header

add_samples(self, *args)

Add several new samples to this header. This function takes multiple arguments, each of which may be either a sample name or an iterable returning sample names (e.g., a list of sample names).

alts

alt metadata (dict ID->record).

The data returned just a snapshot of alt records, is created every time the property is requested, and modifications will not be reflected in the header metadata and vice versa.

i.e. it is just a dict that reflects the state of alt records at the time it is created.

contigs

contig information (VariantHeaderContigs)

copy(self)

filters

filter metadata (VariantHeaderMetadata)

formats

format metadata (VariantHeaderMetadata)

info

info metadata (VariantHeaderMetadata)

merge(self, VariantHeader header)

new_record(self, contig=None, start=0, stop=0, alleles=None, id=None, qual=None, filter=None, info=None, samples=None, **kwargs)

Create a new empty VariantRecord.

Arguments are currently experimental. Use with caution and expect changes in upcoming releases.

records

header records (VariantHeaderRecords)

samples

version

VCF version

class pysam.VariantRecord(*args, **kwargs)

Variant record

alleles

tuple of reference allele followed by alt alleles

alts

tuple of alt alleles

chrom

chromosome/contig name

contig

chromosome/contig name

copy(self)

return a copy of this VariantRecord object

filter

filter information (see VariantRecordFilter)

format

sample format metadata (see VariantRecordFormat)

id

record identifier or None if not available

info

info data (see VariantRecordInfo)

pos

record start position on chrom/contig (1-based inclusive)

qual

phred scaled quality score or None if not available

ref

reference allele

rid

internal reference id number

rlen

record length on chrom/contig (aka rec.stop - rec.start)

samples

sample data (see VariantRecordSamples)

start

record start position on chrom/contig (0-based inclusive)

stop

record stop position on chrom/contig (0-based exclusive)

translate(self, VariantHeader dst_header)

class pysam.VariantHeaderRecord(*args, **kwargs)

header record from a VariantHeader object

attrs

sequence of additional header attributes

get(self, key, default=None)

D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.

items(self)

D.items() -> list of D’s (key, value) pairs, as 2-tuples

iteritems(self)

D.iteritems() -> an iterator over the (key, value) items of D

iterkeys(self)

D.iterkeys() -> an iterator over the keys of D

itervalues(self)

D.itervalues() -> an iterator over the values of D

key

header key (the part before ‘=’, in FILTER/INFO/FORMAT/contig/fileformat etc.)

keys(self)

D.keys() -> list of D’s keys

pop(self, key, default=_nothing)

remove(self)

type

FILTER, INFO, FORMAT, CONTIG, STRUCTURED, or GENERIC

Type:header type

update(self, items=None, **kwargs)

D.update([E, ]**F) -> None.

Update D from dict/iterable E and F.

value

header value. Set only for generic lines, None for FILTER/INFO, etc.

values(self)

D.values() -> list of D’s values

HTSFile

HTSFile is the base class for pysam.AlignmentFile and pysam.VariantFile.

class pysam.HTSFile

Base class for HTS file types

add_hts_options(self, format_options=None)

Given a list of key=value format option strings, add them to an open htsFile

category

General file format category. One of UNKNOWN, ALIGNMENTS, VARIANTS, INDEX, REGIONS

check_truncation(self, ignore_truncation=False)

Check if file is truncated.

close(self)

closed

return True if HTSFile is closed.

compression

File compression.

One of NONE, GZIP, BGZF, CUSTOM.

description

Vaguely human readable description of the file format

format

File format.

One of UNKNOWN, BINARY_FORMAT, TEXT_FORMAT, SAM, BAM, BAI, CRAM, CRAI, VCF, BCF, CSI, GZI, TBI, BED.

get_reference_name(self, tid)

return contig name corresponding to numerical tid

get_tid(self, contig)

return the numerical tid corresponding to contig

returns -1 if contig is not known.

is_bam

return True if HTSFile is reading or writing a BAM alignment file

is_bcf

return True if HTSFile is reading or writing a BCF variant file

is_closed

return True if HTSFile is closed.

is_cram

return True if HTSFile is reading or writing a BAM alignment file

is_open

return True if HTSFile is open and in a valid state.

is_read

return True if HTSFile is open for reading

is_sam

return True if HTSFile is reading or writing a SAM alignment file

is_valid_reference_name(self, contig)

return True if the contig name contig is valid; False otherwise.

is_valid_tid(self, tid)

return True if the numerical tid is valid; False otherwise.

returns -1 if contig is not known.

is_vcf

return True if HTSFile is reading or writing a VCF variant file

is_write

return True if HTSFile is open for writing

parse_region(self, contig=None, start=None, stop=None, region=None, tid=None, reference=None, end=None)

parse alternative ways to specify a genomic region. A region can either be specified by contig, start and stop. start and stop denote 0-based, half-open intervals. reference and end are also accepted for backward compatibility as synonyms for contig and stop, respectively.

Alternatively, a samtools region string can be supplied.

If any of the coordinates are missing they will be replaced by the minimum (start) or maximum (stop) coordinate.

Note that region strings are 1-based inclusive, while start and stop denote an interval in 0-based, half-open coordinates (like BED files and Python slices).

If contig or region or are *, unmapped reads at the end of a BAM file will be returned. Setting either to . will iterate from the beginning of the file.

Returns:a tuple of flag, tid, start and stop. The flag indicates whether no coordinates were supplied and the genomic region is the complete genomic space. Return type:tuple Raises:ValueError – for invalid or out of bounds regions.

reset(self)

reset file position to beginning of file just after the header.

Returns:The file position after moving the file pointer. Return type:pointer

seek(self, uint64_t offset)

move file pointer to position offset, see pysam.HTSFile.tell().

tell(self)

return current file position, see pysam.HTSFile.seek().

version

Tuple of file format version numbers (major, minor)

Working with BAM/CRAM/SAM-formatted files

Opening a file

To begin with, import the pysam module and open a pysam.AlignmentFile:

import pysam
samfile = pysam.AlignmentFile("ex1.bam", "rb")

The above command opens the file ex1.bam for reading. The b qualifier indicates that this is a BAM file. To open a SAM file, type:

import pysam
samfile = pysam.AlignmentFile("ex1.sam", "r")

CRAM files are identified by a c qualifier:

import pysam
samfile = pysam.AlignmentFile("ex1.cram", "rc")

Fetching reads mapped to a region

Reads are obtained through a call to the pysam.AlignmentFile.fetch() method which returns an iterator. Each call to the iterator will returns a pysam.AlignedSegment object:

iter = samfile.fetch("seq1", 10, 20)
for x in iter:
    print(str(x))

pysam.AlignmentFile.fetch() returns all reads overlapping a region sorted by the first aligned base in the reference sequence. Note that it will also return reads that are only partially overlapping with the region. Thus the reads returned might span a region that is larger than the one queried.

Using the pileup-engine

In contrast to fetching, the pileup engine returns for each base in the reference sequence the reads that map to that particular position. In the typical view of reads stacking vertically on top of the reference sequence similar to a multiple alignment, fetching iterates over the rows of this implied multiple alignment while a pileup iterates over the columns.

Calling pileup() will return an iterator over each column (reference base) of a specified region. Each call to the iterator returns an object of the type pysam.PileupColumn that provides access to all the reads aligned to that particular reference position as well as some additional information:

iter = samfile.pileup('seq1', 10, 20)
for x in iter:
   print(str(x))

Creating BAM/CRAM/SAM files from scratch

The following example shows how a new BAM file is constructed from scratch. The important part here is that the pysam.AlignmentFile class needs to receive the sequence identifiers. These can be given either as a dictionary in a header structure, as lists of names and sizes, or from a template file. Here, we use a header dictionary:

header = { 'HD': {'VN': '1.0'},
            'SQ': [{'LN': 1575, 'SN': 'chr1'},
                   {'LN': 1584, 'SN': 'chr2'}] }

with pysam.AlignmentFile(tmpfilename, "wb", header=header) as outf:
    a = pysam.AlignedSegment()
    a.query_name = "read_28833_29006_6945"
    a.query_sequence="AGCTTAGCTAGCTACCTATATCTTGGTCTTGGCCG"
    a.flag = 99
    a.reference_id = 0
    a.reference_start = 32
    a.mapping_quality = 20
    a.cigar = ((0,10), (2,1), (0,25))
    a.next_reference_id = 0
    a.next_reference_start=199
    a.template_length=167
    a.query_qualities = pysam.qualitystring_to_array("<<<<<<<<<<<<<<<<<<<<<:<9/,&,22;;<<<")
    a.tags = (("NM", 1),
              ("RG", "L1"))
    outf.write(a)

Using streams

Pysam does not support reading and writing from true python file objects, but it does support reading and writing from stdin and stdout. The following example reads from stdin and writes to stdout:

infile = pysam.AlignmentFile("-", "r")
outfile = pysam.AlignmentFile("-", "w", template=infile)
for s in infile:
    outfile.write(s)

It will also work with BAM files. The following script converts a BAM formatted file on stdin to a SAM formatted file on stdout:

infile = pysam.AlignmentFile("-", "rb")
outfile = pysam.AlignmentFile("-", "w", template=infile)
for s in infile:
    outfile.write(s)

Note that the file open mode needs to changed from r to rb.

Using samtools commands within python

Commands available in samtools are available as simple function calls. Command line options are provided as arguments. For example:

pysam.sort("-o", "output.bam", "ex1.bam")

corresponds to the command line:

samtools sort -o output.bam ex1.bam

Or for example:

pysam.sort("-m", "1000000", "-o", "output.bam", "ex1.bam")

In order to get usage information, try:

print(pysam.sort.usage())

Argument errors raise a pysam.SamtoolsError:

pysam.sort()

Traceback (most recent call last):
File "x.py", line 12, in <module>
  pysam.sort()
File "/build/lib.linux-x86_64-2.6/pysam/__init__.py", line 37, in __call__
  if retval: raise SamtoolsError( "\n".join( stderr ) )
pysam.SamtoolsError: 'Usage: samtools sort [-n] [-m <maxMem>] <in.bam> <out.prefix>\n'

Messages from samtools on stderr are captured and are available using the getMessages() method:

pysam.sort.getMessage()

Note that only the output from the last invocation of a command is stored.

In order for pysam to make the output of samtools commands accessible the stdout stream needs to be redirected. This is the default behaviour, but can cause problems in environments such as the ipython notebook. A solution is to pass the catch_stdout keyword argument:

pysam.sort(catch_stdout=False)

Note that this means that output from commands which produce output on stdout will not be available. The only solution is to run samtools commands through subprocess.

Working with tabix-indexed files

To open a tabular file that has been indexed with tabix, use TabixFile:

import pysam
tbx = pysam.TabixFile("example.bed.gz")

Similar to fetch, intervals within a region can be retrieved by calling fetch():

for row in tbx.fetch("chr1", 1000, 2000):
     print(str(row))

This will return a tuple-like data structure in which columns can be retrieved by numeric index:

for row in tbx.fetch("chr1", 1000, 2000):
     print("chromosome is", row[0])

By providing a parser to fetch or TabixFile, the data will we presented in parsed form:

for row in tbx.fetch("chr1", 1000, 2000, parser=pysam.asTuple()):
     print("chromosome is", row.contig)
     print("first field (chrom)=", row[0])

Pre-built parsers are available for bed (asBed) formatted files and gtf (asGTF) formatted files. Thus, additional fields become available through named access, for example:

for row in tbx.fetch("chr1", 1000, 2000, parser=pysam.asBed()):
     print("name is", row.name)

Working with VCF/BCF formatted files

To iterate through a VCF/BCF formatted file use VariantFile:

from pysam import VariantFile

bcf_in = VariantFile("test.bcf")  # auto-detect input format
bcf_out = VariantFile('-', 'w', header=bcf_in.header)

for rec in bcf_in.fetch('chr1', 100000, 200000):
    bcf_out.write(rec)

_pysam.VariantFile.fetch() iterates over VariantRecord objects which provides access to simple variant attributes such as contig, pos, ref:

for rec in bcf_in.fetch():
    print(rec.pos)

but also to complex attributes such as the contents to the info, format and genotype columns. These complex attributes are views on the underlying htslib data structures and provide dictionary-like access to the data:

for rec in bcf_in.fetch():
    print(rec.info)
    print(rec.info.keys())
    print(rec.info["DP"])

The header attribute (VariantHeader) provides access information stored in the vcf header. The complete header can be printed:

>>> print(bcf_in.header)
##fileformat=VCFv4.2
##FILTER=<ID=PASS,Description="All filters passed">
##fileDate=20090805
##source=myImputationProgramV3.1
##reference=1000GenomesPilot-NCBI36
##phasing=partial
##INFO=<ID=NS,Number=1,Type=Integer,Description="Number of Samples
With Data">
##INFO=<ID=DP,Number=1,Type=Integer,Description="Total Depth">
##INFO=<ID=AF,Number=.,Type=Float,Description="Allele Frequency">
##INFO=<ID=AA,Number=1,Type=String,Description="Ancestral Allele">
##INFO=<ID=DB,Number=0,Type=Flag,Description="dbSNP membership, build
129">
##INFO=<ID=H2,Number=0,Type=Flag,Description="HapMap2 membership">
##FILTER=<ID=q10,Description="Quality below 10">
##FILTER=<ID=s50,Description="Less than 50% of samples have data">
##FORMAT=<ID=GT,Number=1,Type=String,Description="Genotype">
##FORMAT=<ID=GQ,Number=1,Type=Integer,Description="Genotype Quality">
##FORMAT=<ID=DP,Number=1,Type=Integer,Description="Read Depth">
##FORMAT=<ID=HQ,Number=2,Type=Integer,Description="Haplotype Quality">
##contig=<ID=M>
##contig=<ID=17>
##contig=<ID=20>
##bcftools_viewVersion=1.3+htslib-1.3
##bcftools_viewCommand=view -O b -o example_vcf42.bcf
example_vcf42.vcf.gz
#CHROM  POS     ID      REF     ALT     QUAL    FILTER  INFO   FORMAT    NA00001 NA00002 NA0000

Individual contents such as contigs, info fields, samples, formats can be retrieved as attributes from header:

>>> print(bcf_in.header.contigs)
<pysam.cbcf.VariantHeaderContigs object at 0xf250f8>

To convert these views to native python types, iterate through the views:

>>> print(list((bcf_in.header.contigs)))
['M', '17', '20']
>>> print(list((bcf_in.header.filters)))
['PASS', 'q10', 's50']
>>> print(list((bcf_in.header.info)))
['NS', 'DP', 'AF', 'AA', 'DB', 'H2']
>>> print(list((bcf_in.header.samples)))
['NA00001', 'NA00002', 'NA00003']

Alternatively, it is possible to iterate through all records in the header returning objects of type VariantHeaderRecord::

>>> for x in bcf_in.header.records:
>>>    print(x)
>>>    print(x.type, x.key)
GENERIC fileformat
FILTER FILTER
GENERIC fileDate
GENERIC source
GENERIC reference
GENERIC phasing
INFO INFO
INFO INFO
INFO INFO
INFO INFO
INFO INFO
INFO INFO
FILTER FILTER
FILTER FILTER
FORMAT FORMAT
FORMAT FORMAT
FORMAT FORMAT
FORMAT FORMAT
CONTIG contig
CONTIG contig
CONTIG contig
GENERIC bcftools_viewVersion
GENERIC bcftools_viewCommand

Extending pysam

Using pyximport, it is (relatively) straight-forward to access pysam internals and the underlying samtools library. An example is provided in the tests directory. The example emulates the samtools flagstat command and consists of three files:

1. The main script pysam_flagstat.py. The important lines in this script are:

   import pyximport
   pyximport.install()
   import _pysam_flagstat
   
   ...
   
   flag_counts = _pysam_flagstat.count(pysam_in)
   

   The first part imports, sets up pyximport and imports the cython module _pysam_flagstat. The second part calls the count method in _pysam_flagstat.

2. The cython implementation _pysam_flagstat.pyx. This script imports the pysam API via:

   from pysam.libcalignmentfile cimport AlignmentFile, AlignedSegment
   

   This statement imports, amongst others, AlignedSegment into the namespace. Speed can be gained from declaring variables. For example, to efficiently iterate over a file, an AlignedSegment object is declared:

   # loop over samfile
   cdef AlignedSegment read
   for read in samfile:
       ...
   

3. A pyxbld providing pyximport with build information. Required are the locations of the samtools and pysam header libraries of a source installation of pysam plus the csamtools.so shared library. For example:

   def make_ext(modname, pyxfilename):
       from distutils.extension import Extension
       import pysam
       return Extension(name=modname,
             sources=[pyxfilename],
             extra_link_args=pysam.get_libraries(),
             include_dirs=pysam.get_include(),
             define_macros=pysam.get_defines())
   

If the script pysam_flagstat.py is called the first time, pyximport will compile the cython extension _pysam_flagstat.pyx and make it available to the script. Compilation requires a working compiler and cython installation. Each time _pysam_flagstat.pyx is modified, a new compilation will take place.

pyximport comes with cython.

Installing pysam

Pysam can be installed through conda, pypi and from the repository. The recommended way to install pysam is through conda/bioconda.

Conda installation

To install pysam in your current conda environment, type:

conda config --add channels r
conda config --add channels bioconda
conda install pysam

This will install pysam from the bioconda channel and automatically makes sure that dependencies are installed. Also, compilation flags will be set automatically, which will potentially save a lot of trouble on OS X.

Pypi installation

Pysam provides a python interface to the functionality contained within the htslib C library. There are two ways that these two can be combined, builtin and external.

Builtin

The typical installation will be through pypi:

pip install pysam

This will compile the builtin htslib source code within pysam.

htslib can be configured at compilation to turn on additional features such support using encrypted configurations, enable plugins, and more. See the htslib project for more information on these.

Pysam will attempt to configure htslib to turn on some advanced features. If these fail, for example due to missing library dependencies (libcurl, libcrypto), it will fall back to conservative defaults.

Options can be passed to the configure script explicitly by setting the environment variable HTSLIB_CONFIGURE_OPTIONS. For example:

export HTSLIB_CONFIGURE_OPTIONS=--enable-plugins
pip install pysam

External

pysam can be combined with an externally installed htslib library. This is a good way to avoid duplication of libraries. To link against an externally installed library, set the environment variables HTSLIB_LIBRARY_DIR and HTSLIB_INCLUDE_DIR before installing:

export HTSLIB_LIBRARY_DIR=/usr/local/lib
export HTSLIB_INCLUDE_DIR=/usr/local/include
pip install pysam

Note that the location of the file libhts.so needs to be known to the linker once you run pysam, for example by setting the environment-varirable LD_LIBRARY_PATH.

Note that generally the pysam and htslib version need to be compatible. See the release notes for more information.

Installation from repository

pysam depends on cython to provide the connectivity to the htslib C library. The installation of the source tarball (.tar.gz) contains pre-built C-files and cython needs not be present during installation. However, when installing from the repository, cython needs to be installed beforehand.

To install from repository, type:

python setup.py install

For compilation options, see the section on Pypi installation above.

Requirements

Depending on the installation method, requirements for building pysam differ.

When installing through conda, dependencies will be resolved by the package manager. The pip installation and installation from source require a C compiler and its standard libraries as well as all requirements for building htslib. Htslib requirements are listed in the htslib/INSTALL file.

Installing from the repository will require cython to be installed.

FAQ

How should I cite pysam

Pysam has not been published in print. When referring to pysam, please use the github URL: https://github.com/pysam-developers/pysam. As pysam is a wrapper around htslib and the samtools package, I suggest citing [Li.2009], [Bonfield.2021], and/or [Danecek.2021], as appropriate.

Is pysam thread-safe?

Pysam is a mix of python and C code. Instructions within python are generally made thread-safe through python’s global interpreter lock (GIL). This ensures that python data structures will always be in a consistent state.

If an external function outside python is called, the programmer has a choice to keep the GIL in place or to release it. Keeping the GIL in place will make sure that all python threads wait until the external function has completed. This is a safe option and ensures thread-safety.

Alternatively, the GIL can be released while the external function is called. This will allow other threads to run concurrently. This can be beneficial if the external function is expected to halt, for example when waiting for data to read or write. However, to achieve thread-safety, the external function needs to be implemented with thread-safety in mind. This means that there can be no shared state between threads, or if there is shared, it needs to be controlled to prevent any access conflicts.

Pysam generally uses the latter option and aims to release the GIL for I/O intensive tasks. This is generally fine, but thread-safety of all parts have not been fully tested.

A related issue is when different threads read from the same file object - or the same thread uses two iterators over a file. There is only a single file-position for each opened file. To prevent this from happening, use the option multiple_iterators=True when calling a fetch() method. This will return an iterator on a newly opened file.

pysam coordinates are wrong

pysam uses 0-based coordinates and the half-open notation for ranges as does python. Coordinates and intervals reported from pysam always follow that convention.

Confusion might arise as different file formats might have different conventions. For example, the SAM format is 1-based while the BAM format is 0-based. It is important to remember that pysam will always conform to the python convention and translate to/from the file format automatically.

The only exception is the region string in the fetch() and pileup() methods. This string follows the convention of the samtools command line utilities. The same is true for any coordinates passed to the samtools command utilities directly, such as pysam.mpileup().

Calling pysam.fetch() confuses existing iterators

The following code will cause unexpected behaviour:

samfile = pysam.AlignmentFile("pysam_ex1.bam", "rb")

iter1 = samfile.fetch("chr1")
print(next(iter1).reference_id)
iter2 = samfile.fetch("chr2")
print(next(iter2).reference_id)
print(next(iter1).reference_id)

This will give the following output:

0
1
Traceback (most recent call last):
  File "xx.py", line 8, in <module>
    print(next(iter1).reference_id)
  File "libcalignmentfile.pyx", line 2103,
  in pysam.libcalignmentfile.IteratorRowRegion.__next__
StopIteration

Note how the second iterator stops as the file pointer has moved to chr2. The correct way to work with multiple iterators is:

samfile = pysam.AlignmentFile("pysam_ex1.bam", "rb")

iter1 = samfile.fetch("chr1", multiple_iterators=True)
print(next(iter1).reference_id)
iter2 = samfile.fetch("chr2")
print(next(iter2).reference_id)
print(next(iter1).reference_id)

Here, the output is:

0
1
0

The reason for this behaviour is that every iterator needs to keep track of its current position in the file. Within pysam, each opened file can only keep track of one file position and hence there can only be one iterator per file. Using the option multiple_iterators=True will return an iterator within a newly opened file. This iterator will not interfere with existing iterators as it has its own file handle associated with it.

Note that re-opening files incurs a performance penalty which can become severe when calling fetch() often. Thus, multiple_iterators is set to False by default.

AlignmentFile.fetch does not show unmapped reads

fetch() will only iterate over alignments in the SAM/BAM file. The following thus always works:

bf = pysam.AlignmentFile(fname, "rb")
for r in bf.fetch():
    assert not r.is_unmapped

If the SAM/BAM file contains unaligned reads, they can be included in the iteration by adding the until_eof=True flag:

bf = pysam.AlignmentFile(fname, "rb")
for r in bf.fetch(until_eof=True):
    if r.is_unmapped:
        print("read is unmapped")

I can’t call AlignmentFile.fetch on a file without an index

fetch() requires an index when iterating over a SAM/BAM file. To iterate over a file without an index, use until_eof=True:

bf = pysam.AlignmentFile(fname, "rb")
for r in bf.fetch(until_eof=True):
    print(r)

BAM files with a large number of reference sequences are slow

If you have many reference sequences in a BAM file, the following might be slow:

track = pysam.AlignmentFile(fname, "rb")
for aln in track.fetch():
    pass

The reason is that track.fetch() will iterate through the BAM file for each reference sequence in the order as it is defined in the header. This might require a lot of jumping around in the file. To avoid this, use:

track = pysam.AlignmentFile(fname, "rb")
for aln in track.fetch(until_eof=True):
    pass

This will iterate through reads as they appear in the file.

Weirdness with spliced reads in samfile.pileup(chr,start,end) given spliced alignments from an RNA-seq bam file

Spliced reads are reported within samfile.pileup. To ignore these in your analysis, test the flags is_del == True and indel == 0 in the PileupRead object.

I can’t edit quality scores in place

Editing reads in-place generally works, though there is one quirk to be aware of. Assigning to AlignedSegment.query_sequence will invalidate any quality scores in AlignedSegment.query_qualities. The reason is that samtools manages the memory of the sequence and quality scores together and thus requires them to always be of the same length or 0.

Thus, to in-place edit the sequence and quality scores, copies of the quality scores need to be taken. Consider trimming for example:

quals = read.query_qualities
read.query_sequence = read.query_sequence[5:10]
read.query_qualities = quals[5:10]

Why is there no SNPCaller class anymore?

SNP calling is highly complex and heavily parameterized. There was a danger that the pysam implementations might show different behaviour from the samtools implementation, which would have caused a lot of confusion.

The best way to use samtools SNP calling from python is to use the pysam.mpileup() command and parse the output directly.

I get an error ‘PileupProxy accessed after iterator finished’

Pysam works by providing proxy objects to objects defined within the C-samtools package. Thus, some attention must be paid to the lifetime of objects. The following to code snippets will cause an error:

s = AlignmentFile('ex1.bam')
for p in s.pileup('chr1', 1000,1010):
    pass

for pp in p.pileups:
    print(pp)

The iteration has finished, thus the contents of p are invalid. Another variation of this:

p = next(AlignmentFile('ex1.bam').pileup('chr1', 1000, 1010))
for pp in p.pileups:
    print(pp)

Again, the iteration finishes as the temporary iterator created by pileup goes out of scope. The solution is to keep a handle to the iterator that remains alive:

i = AlignmentFile('ex1.bam').pileup('chr1', 1000, 1010)
p = next(i)
for pp in p.pileups:
    print(pp)

Pysam won’t compile

Compiling pysam can be tricky as there are numerous variables that differ between build environments such as OS, version, python version, and compiler. It is difficult to build software that builds cleanly on all systems and the process might fail. Please see the pysam user group for common issues.

If there is a build issue, read the generated output carefully - generally the cause of the problem is among the first errors to be reported. For example, you will need to have the development version of python installed that includes the header files such as Python.h. If that file is missing, the compiler will report this at the very top of its error messages but will follow it with any unknown function or variable definition it encounters later on.

General advice is to always use the latest version on python and cython when building pysam. There are some known incompatibilities:

• Python 3.4 requires cython 0.20.2 or later (see here)

ImportError: cannot import name csamtools

In version 0.10.0 and onwards, all pysam extension modules contain a lib-prefix. This facilates linking against pysam extension modules with compilers that require to start with lib. As a consequence, all code using pysam extension modules directly will need to be adapted. For example,:

cimport pysam.csamtools

will become:

cimport pysam.libcsamtools

Developer’s guide

Code organization

The top level directory is organized in the following directories:

pysam

Code specific to pysam.

doc

The documentation. To build the latest documentation, first install Sphinx and then type:

make -C doc html

tests

Code and data for testing and benchmarking.

htslib

Source code from htslib shipped with pysam. See import.py about importing.

samtools

Source code from samtools shipped with pysam. See import.py about importing.

bcftools

Source code from bcftools shipped with pysam. See import.py about importing.

Importing new versions of htslib and samtools

See instructions in import.py to import the latest versions of htslib, samtools and bcftools.

Unit testing

Unit tests are in the tests directory. To run all unit tests, run:

pytest tests

Most tests use test data from the tests/*_data directories. Some of these test data files are generated from other files in these directories, which is done by running make in each directory:

make -C tests/pysam_data
# etc

Alternatively if any tests/*_data/all.stamp file is not already present, running the unit tests should generate that directory’s data files automatically.

Benchmarking

To run the benchmarking suite, make sure that pytest-benchmark is installed. To run all benchmarks, type:

pytest tests/*_bench.py

See Benchmarking for more on this topic.

Contributors

Please see Github for a list of all contributors:

https://github.com/pysam-developers/pysam/graphs/contributors

Many thanks to all contributors for helping in making pysam useful.

Release notes

Release 0.19.1

This release wraps htslib/samtools/bcftools version 1.15.1.

• [#1104] add an add_samples() method to quickly add multiple samples to VCF.

Release 0.19.0

This release wraps htslib/samtools/bcftools version 1.15.

• [#1085] Improve getopt()/getopt_long() resetting when running samtools/bcftools commands
• [#1078] Support BAM_CPAD in get_aligned_pairs
• [#1063] Run flake8 and fix some linting issues
• [#1088] Add AlignedSegment is_mapped/mate_is_mapped/is_forward/mate_is_forward properties
• Write an absent AlignedSegment.qual as all-bytes-0xff
• Fix BGZFile.read() behaviour near or at EOF
• First API for the htslib modified bases interface

Release 0.18.0

This release wraps htslib/samtools/bcftools version 1.14.

• [#1048] and [#1060], clarify documentation of index statistics with CRAM files
• Prevent “retval may be used uninitialised” warning.
• Add new “samples” subcommand to pysam/samtools.py
• Introduce TupleProxyIterator iterator object class

Release 0.17.0

This release wraps htslib/samtools/bcftools version 1.13. Corresponding to new samtools commands, pysam.samtools now has additional functions ampliconclip, ampliconstats, fqimport, and version.

Bugs fixed:

• [#447] The maximum QNAME length is fully restored to 254
• [#506, #958, #1000] Don’t crash the Python interpreter on pysam.bcftools.*() errors
• [#603] count_coverage: ignore reads that have no SEQ field
• [#928] Fix pysam.bcftools.mpileup() segmentation fault
• [#983] Add win32/*.[ch] to MANIFEST.in
• [#994] Raise exception in get_tid() if header could not be parsed
• [#995] Choose TBI/CSI in tabix_index() via both min_shift and csi
• [#996] AlignmentFile.fetch() now works with large chromosomes longer than 2²⁹ bases
• [#1019] Fix Sphinx documentation generation by avoiding Python 2 ur'string' syntax
• [#1035] Improved handling of file iteration errors
• [#1038] tabix_index() no longer leaks file descriptors
• [#1040] print(aligned_segment) now prints the correct TLEN value (it also now prints RNAME/RNEXT more clearly and prints POS/PNEXT 1-based)
• setup.py longer uses setup(use_2to3) for compatibility with setuptools >= v58.0.0

New facilities:

• [PR #963] Additional VCF classes are exposed to pysam programmers
• [#998, PR #1001] Add get/set_encoding_error_handler() to control UTF-8 conversion
• [PR #1012] Running python setup.py sdist now automatically runs cythonize
• Running tests with pytest now automatically runs make to generate test data

Documentation improvements:

• [#726] Clarify get_forward_sequence/get_forward_qualities documentation
• [#865] Improved example
• [#968] get_index_statstics parameters
• [#986] Clarify VariantFile.fetch start/stop region parameters are 0-based and half-open.
• [#990] Corrected PileupColumn.get_query_sequences documentation
• [#999] Fix documentation for AlignmentFile.get_reference_length()
• [#1002] Document the default min_base_quality for pileup()

Release 0.16.0

This release wraps htslib/bcftools version 1.10.2 and samtools version 1.10. The following bugs reported against pysam are fixed due to this:

• [#447] Writing out QNAME longer than 251 characters corrupts BAM
• [#640, #734, #843] Setting VariantRecord pos or stop raises error
• [#738, #919] FastxFile truncates concatenated plain gzip compressed files

Additional bugfixes:

• [#840] Pileup doesn’t work on python3 when index_filename is used
• [#886] FastqProxy raises ValueError when instantiated from python
• [#904] VariantFile.fetch() throws ValueError on files with no records
• [#909] Fix incorrect quoting in VariantFile contig records
• [#915, #916] Implement pileup() for unindexed files and/or SAM files

Backwards incompatible changes:

• The samtools import command was removed in samtools 1.10, so pysam no longer exports a samimport function. Use pysam.view() instead.

Release 0.15.4

Bugfix release. Principal reason for release is to update cython version in order to fix pip install pysam with python 3.8.

• [#879] Fix add_meta function in libcbcf.pyx, so meta-information lines in header added with this function have double-quoting rules in accordance to rules specified in VCF4.2 and VCF4.3 specifications
• [#863] Force arg to bytes to support non-ASCII encoding
• [#875] Bump minimum Cython version
• [#868] Prevent segfault on Python 2.7 AlignedSegment.compare(other=None)
• [#867] Fix wheel building on TravisCI
• [#863] Force arg to bytes to support non-ASCII encoding
• [#799] disambiguate interpretation of bcf_read return code
• [#841] Fix silent truncation of FASTQ with bad q strings
• [#846] Prevent segmentation fault on ID, when handling malformed records
• [#829] Run configure with the correct CC/CFLAGS/LDFLAGS env vars

Release 0.15.3

Bugfix release.

• [#824] allow reading of UTF-8 encoded text in VCF/BCF files.
• [#780] close all filehandles before opening new ones in pysam_dispatch
• [#773] do not cache VariantRecord.id to avoid memory leak
• [#781] default of multiple_iterators=True is changed to False for CRAM files.
• [#825] fix collections.abc import
• [#825] use bcf_hdr_format instead of bcf_hdr_fmt_text, fix memcpy bug when setting FORMAT fields.
• [#804] Use HTSlib’s kstring_t, which reallocates and enlarges its memory as needed, rather than a fixed-size char buffer.
• [#814] Build wheels and upload them to PyPI
• [#755] Allow passing flags and arguments to index methods
• [#763] Strip 0 in header check
• [#761] Test Tabix index contents, not the compression

Release 0.15.2

Bugfix release.

• [#746] catch pileup itorator out-of-scope segfaults
• [#747] fix faixd fetch with region
• [#748] increase max_pos to (1<<31)-1
• [#645] Add missing macOS stub files in MANIFEST.in, @SoapZA
• [#737] Fix bug in get_aligned_pairs, @bkohrn

Release 0.15.1

Bugfix release.

• [#716] raise ValueError if tid is out of range when writing
• [#697] release version using cython 0.28.5 for python 3.7 compatibility

Release 0.15.0

This release wraps htslib/samtools/bcftools version 1.9.0.

• [#673] permit dash in chromosome name of region string
• [#656] Support text when opening a SAM file for writing
• [#658] return None in get_forward_sequence if sequence not in record
• [#683] allow lower case bases in MD tags
• Ensure that = and X CIGAR ops are treated the same as M

Release 0.14.1

This is mostly a bugfix release, though bcftools has now also been upgraded to 1.7.0.

• [#621] Add a warning to count_coverage when an alignment has an empty QUAL field
• [#635] Speed-up of AlignedSegment.find_intro()
• treat border case of all bases in pileup column below quality score
• [#634] Fix access to pileup reference_sequence

Release 0.14.0

This release wraps htslib/samtools versions 1.7.0.

• SAM/BAM/CRAM headers are now managed by a separate AlignmentHeader class.
• AlignmentFile.header.as_dict() returns an ordered dictionary.
• Use “stop” instead of “end” to ensure consistency to VariantFile. The end designations have been kept for backwards compatibility.
• [#611] and [#293] CRAM repeated fetch now works, each iterator reloads index if multiple_iterators=True
• [#608] pysam now wraps htslib 1.7 and samtools 1.7.
• [#580] reference_name and next_reference_name can now be set to “*” (will be converted to None to indicate an unmapped location)
• [#302] providing no coordinate to count_coverage will not count from start/end of contig.
• [#325] @SQ records will be automatically added to header if they are absent from text section of header.
• [#529] add get_forward_sequence() and get_forward_qualities() methods
• [#577] add from_string() and to_dict()/from_dict() methods to AlignedSegment. Rename tostring() to to_string() throughout for consistency
• [#589] return None from build_alignment_sequence if no MD tag is set
• [#528] add PileupColumn.__len__ method

Backwards incompatible changes:

• AlignmentFile.header now returns an AlignmentHeader object. Use AlignmentFile.header.to_dict() to get the dictionary as previously. Most dictionary accessor methods (keys(), values(), __getitem__, …) have been implemented to ensure some level of backwards compatibility when only reading.

  The rationale for this change is to have consistency between AlignmentFile and VariantFile.

• AlignmentFile and FastaFile now raise IOError instead of OSError

Medium term we plan to have a 1.0 release. The pysam interface has grown over the years and the API is cluttered with deprecated names (Samfile, getrname(), gettid(), …). To work towards this, the next release (0.15.0) will yield DeprecationWarnings for any parts of the API that are considered obsolete and will not be in 1.0. Once 1.0 has been reached, we will use semantic versioning.

Release 0.13.0

This release wraps htslib/samtools/bcftools versions 1.6.0 and contains a series of bugfixes.

• [#544] reading header from remote TabixFiles now works.
• [#531] add missing tag types H and A. A python float will now be added as ‘f’ type instead of ‘d’ type.
• [#543] use FastaFile instead of Fastafile in pileup.
• [#546] set is_modified flag in setAttribute so updated attributes are output.
• [#537] allow tabix index files to be created in a custom location.
• [#530] add get_index_statistics() method

Release 0.12.0.1

Bugfix release to solve compilation issue due to missinge bcftools/config.h file.

Release 0.12.0

This release wraps htslib/samtools/bcftools versions 1.5.0 and contains a series of bugfixes.

• [#473] A new FastxRecord class that can be instantiated from class and modified in-place. Replaces PersistentFastqProxy.
• [#521] In AligmentFile, Simplify file detection logic and allow remote index files
  • Removed attempts to guess data and index file names; this is magic left to htslib.
  • Removed file existence check prior to opening files with htslib
  • Better error checking after opening files that raise the appropriate error (IOError for when errno is set, ValueError otherwise for backward compatibility).
  • Report IO errors when loading an index by name.
  • Allow remote indices (tested using S3 signed URLs).
  • Document filepath_index and make it an alias for index_filename.
  • Added a require_index parameter to AlignmentFile
• [#526] handle unset ref when creating new records
• [#513] fix bcf_translate to skip deleted FORMAT fields to avoid segfaults
• [#516] expose IO errors via IOError exceptions
• [#487] add tabix line_skip, remove ‘pileup’ preset
• add FastxRecord, replaces PersistentFastqProxy (still present for backwards compatibility)
• [#496] upgrade to htslib/samtools/bcftools versions 1.5
• add start/stop to AlignmentFile.fetch() to be consistent with VariantFile.fetch(). “end” is kept for backwards compatibility.
• [#512] add get_index_statistics() method to AlignmentFile.

Upcoming changes:

In the next release we are plannig to separate the header information from AlignmentFile into a separate class AlignmentHeader. This layout is similar to VariantFile/VariantHeader. With this change we will ensure that an AlignedSegment record will be linked to a header so that chromosome names can be automatically translated from the numeric representation. As a consequence, the way new AlignedSegment records are created will need to change as the constructor requires a header:

header = pysam.AlignmentHeader(
    reference_names=["chr1", "chr2"],
    reference_lengths=[1000, 1000])

read = pysam.AlignedSegment(header)

This will affect all code that instantiates AlignedSegment objects directly. We have not yet merged to allow users to provide feed-back. The pull-request is here: https://github.com/pysam-developers/pysam/pull/518 Please comment on github.

Release 0.11.2.2

Bugfix release to address two issues:

• Changes in 0.11.2.1 broke the GTF/GFF3 parser. Corrected and more tests have been added.
• [#479] Correct VariantRecord edge cases described in issue

Release 0.11.2.1

Release to fix release tar-ball containing 0.11.1 pre-compiled C-files.

Release 0.11.2

This release wraps htslib/samtools/bcfools versions 1.4.1 in response to a security fix in these libraries. Additionally the following issues have been fixed:

• [#452] add GFF3 support for tabix parsers
• [#461] Multiple fixes related to VariantRecordInfo and handling of INFO/END
• [#447] limit query name to 251 characters (only partially addresses issue)

VariantFile and related object fixes

• Restore VariantFile.__dealloc__
• Correct handling of bcf_str_missing in bcf_array_to_object and bcf_object_to_array
• Added update() and pop() methods to some dict-like proxy objects
• scalar INFO entries could not be set again after being deleted
• VariantRecordInfo.__delitem__ now allows unset flags to be deleted without raising a KeyError
• Multiple other fixes for VariantRecordInfo methods
• INFO/END is now accessible only via VariantRecord.stop and VariantRecord.rlen. Even if present behind the scenes, it is no longer accessible via VariantRecordInfo.
• Add argument to issue a warning instead of an exception if input appears to be truncated

Other features and fixes:

• Make AlignmentFile __dealloc__ and close more stringent
• Add argument AlignmentFile to issue a warning instead of an exception if input appears to be truncated

Release 0.11.1

Bugfix release

• [#440] add deprecated ‘always’ option to infer_query_length for backwards compatibility.

Release 0.11.0

This release wraps the latest versions of htslib/samtools/bcftools and implements a few bugfixes.

• [#413] Wrap HTSlib/Samtools/BCFtools 1.4
• [#422] Fix missing pysam.sort.usage() message
• [#411] Fix BGZfile initialization bug
• [#412] Add seek support for BGZFile
• [#395] Make BGZfile iterable
• [#433] Correct getQueryEnd
• [#419] Export SAM enums such as pysam.CMATCH
• [#415] Fix access by tid in AlignmentFile.fetch()
• [#405] Writing SAM now outputs a header by default.
• [#332] split infer_query_length(always) into infer_query_length and infer_read_length

Release 0.10.0

This release implements further functionality in the VariantFile API and includes several bugfixes:

• treat special case -c option in samtools view outputs to stdout even if -o given, fixes #315
• permit reading BAM files with CSI index, closes #370
• raise Error if query name exceeds maximum length, fixes #373
• new method to compute hash value for AlignedSegment
• AlignmentFile, VariantFile and TabixFile all inherit from HTSFile
• Avoid segfault by detecting out of range reference_id and next_reference in AlignedSegment.tostring
• Issue #355: Implement streams using file descriptors for VariantFile
• upgrade to htslib 1.3.2
• fix compilation with musl libc
• Issue #316, #360: Rename all Cython modules to have lib as a prefix
• Issue #332, hardclipped bases in cigar included by pysam.AlignedSegment.infer_query_length()
• Added support for Python 3.6 filename encoding protocol
• Issue #371, fix incorrect parsing of scalar INFO and FORMAT fields in VariantRecord
• Issue #331, fix failure in VariantFile.reset() method
• Issue #314, add VariantHeader.new_record(), VariantFile.new_record() and VariantRecord.copy() methods to create new VariantRecord objects
• Added VariantRecordFilter.add() method to allow setting new VariantRecord filters
• Preliminary (potentially unsafe) support for removing and altering header metadata
• Many minor fixes and improvements to VariantFile and related objects

Please note that all internal cython extensions now have a lib prefix to facilitate linking against pysam extension modules. Any user cython extensions using cimport to import pysam definitions will need changes, for example:

cimport pysam.csamtools

will become:

cimport pysam.libcsamtools

Release 0.9.1

This is a bugfix release addressing some installation problems in pysam 0.9.0, in particular:

• patch included htslib to work with older libcurl versions, fixes #262.
• do not require cython for python 3 install, fixes #260
• FastaFile does not accept filepath_index any more, see #270
• add AlignedSegment.get_cigar_stats method.
• py3 bugfix in VariantFile.subset_samples, fixes #272
• add missing sysconfig import, fixes #278
• do not redirect stdout, but instead write to a separately created file. This should resolve issues when pysam is used in notebooks or other environments that redirect stdout.
• wrap htslib-1.3.1, samtools-1.3.1 and bcftools-1.3.1
• use bgzf throughout instead of gzip
• allow specifying a fasta reference for CRAM file when opening for both read and write, fixes #280

Release 0.9.0

Overview

The 0.9.0 release upgrades htslib to htslib 1.3 and numerous other enhancements and bugfixes. See below for a detailed list.

Htslib 1.3 comes with additional capabilities for remote file access which depend on the presence of optional system libraries. As a consequence, the installation script setup.py has become more complex. For an overview, see Installing pysam. We have tested installation on linux and OS X, but could not capture all variations. It is possible that a 0.9.1 release might follow soon addressing installation issues.

The VariantFile class provides access to vcf and bcf formatted files. The class is certainly usable and interface is reaching completion, but the API and the functionality is subject to change.

Detailed release notes

• upgrade to htslib 1.3

• python 3 compatibility tested throughout.

• added a first set of bcftools commands in the pysam.bcftools submodule.

• samtools commands are now in the pysam.samtools module. For backwards compatibility they are still imported into the pysam namespace.

• samtools/bcftools return stdout as a single (byte) string. As output can be binary (VCF.gz, BAM) this is necessary to ensure py2/py3 compatibility. To replicate the previous behaviour in py2.7, use:

  pysam.samtools.view(self.filename).splitlines(True)
  

• get_tags() returns the tag type as a character, not an integer (#214)

• TabixFile now raises ValueError on indices created by tabix <1.0 (#206)

• improve OSX installation and develop mode

• FastxIterator now handles empty sequences (#204)

• TabixFile.isremote is not TabixFile.is_remote in line with AlignmentFile

• AlignmentFile.count() has extra optional argument read_callback

• setup.py has been changed to:

  • install a single builtin htslib library. Previously, each pysam module contained its own version. This reduces compilation time and code bloat.
  • run configure for the builtin htslib library in order to detect optional libraries such as libcurl. Configure behaviour can be controlled by setting the environment variable HTSLIB_CONFIGURE_OPTIONS.

• get_reference_sequence() now returns the reference sequence and not something looking like it. This bug had effects on get_aligned_pairs(with_seq=True), see #225. If you have relied on on get_aligned_pairs(with_seq=True) in pysam-0.8.4, please check your results.

• improved autodetection of file formats in AlignmentFile and VariantFile.

Release 0.8.4

This release contains numerous bugfixes and a first implementation of a pythonic interface to VCF/BCF files. Note that this code is still incomplete and preliminary, but does offer a nearly complete immutable Pythonic interface to VCF/BCF metadata and data with reading and writing capability.

Potential isses when upgrading from v0.8.3:

• binary tags are now returned as python arrays

• renamed several methods for pep8 compatibility, old names still retained for backwards compatibility, but should be considered deprecated.

  • gettid() is now get_tid()
  • getrname() is now get_reference_name()
  • parseRegion() is now parse_region()

• some methods have changed for pep8 compatibility without the old names being present:

  • fromQualityString() is now qualitystring_to_array()
  • toQualityString() is now qualities_to_qualitystring()

• faidx now returns strings and not binary strings in py3.

• The cython components have been broken up into smaller files with more specific content. This will affect users using the cython interfaces.

Edited list of commit log changes:

• fixes AlignmentFile.check_index to return True
• add RG/PM header tag - closes #179
• add with_seq option to get_aligned_pairs
• use char * inside reconsituteReferenceSequence
• add soft clipping for get_reference_sequence
• add get_reference_sequence
• queryEnd now computes length from cigar string if no sequence present, closes #176
• tolerate missing space at end of gtf files, closes #162
• do not raise Error when receiving output on stderr
• add docu about fetching without index, closes #170
• FastaFile and FastxFile now return strings in python3, closes #173
• py3 compat: relative -> absolute imports.
• add reference_name and next_reference_name attributes to AlignedSegment
• add function signatures to cvcf cython. Added note about other VCF code.
• add context manager functions to FastaFile
• add reference_name and next_reference_name attributes to AlignedSegment
• PileupColumn also gets a reference_name attribute.
• add context manager functions to FastaFile
• TabixFile.header for remote files raises AttributeError, fixes #157
• add context manager interface to TabixFile, closes #165
• change ctypedef enum to typedef enum for cython 0.23
• add function signatures to cvcf cython, also added note about other VCF code
• remove exception for custom upper-case header record tags.
• rename VALID_HEADER_FIELDS to KNOWN_HEADER_FIELDS
• fix header record tag parsing for custom tags.
• use cython.str in count_coverage, fixes #141
• avoid maketrans (issues with python3)
• refactoring: AlignedSegment now in separate module
• do not execute remote tests if URL not available
• fix the unmapped count, incl reads with no SQ group
• add raw output to tags
• added write access for binary tags
• bugfix in call to resize
• implemented writing of binary tags from arrays
• implemented convert_binary_tag to use arrays
• add special cases for reads that are unmapped or whose mates are unmapped.
• rename TabProxies to ctabixproxies
• remove underscores from utility functions
• move utility methods into cutils
• remove callback argument to fetch - closes #128
• avoid calling close in dealloc
• add unit tests for File object opening
• change AlignmentFile.open to filepath_or_object
• implement copy.copy, close #65
• add chaching of array attributes in AlignedSegment, closes #121
• add export of Fastafile
• remove superfluous pysam_dispatch
• use persist option in FastqFile
• get_tag: expose tag type if requested with with_value_type
• fix to allow reading vcf record info via tabix-based vcf reader
• add pFastqProxy and pFastqFile objects to make it possible to work with multiple fastq records per file handle, unlike FastqProxy/FastqFile.
• release GIL around htslib IO operations
• More work on read/write support, API improvements
• add phased property on VariantRecordSample
• add mutable properties to VariantRecord
• BCF fixes and start of read/write support
• VariantHeaderRecord objects now act like mappings for attributes.
• add VariantHeader.alts dict from alt ID->Record.
• Bug fix to strong representation of structured header records.
• VariantHeader is now mutable

Release 0.8.3

• samtools command now accept the “catch_stdout” option.
• get_aligned_pairs now works for soft-clipped reads.
• query_position is now None when a PileupRead is not aligned to a particular position.
• AlignedSegments are now comparable and hashable.

Release 0.8.2.1

• Installation bugfix release.

Release 0.8.2

• Pysam now wraps htslib 1.2.1 and samtools version 1.2.
• Added CRAM file support to pysam.

• New alignment info interface.

  • opt() and setTag are deprecated, use get_tag() and set_tag() instead.
  • added has_tag()
  • tags is deprecated, use get_tags() and set_tags() instead.

• FastqFile is now FastxFile to reflect that the latter permits iteration over both fastq- and fasta-formatted files.
• A Cython wrapper for htslib VCF/BCF reader/writer. The wrapper provides a nearly complete Pythonic interface to VCF/BCF metadata with reading and writing capability. However, the interface is still incomplete and preliminary and lacks capability to mutate the resulting data.

Release 0.8.1

• Pysam now wraps htslib and samtools versions 1.1.
• Bugfixes, most notable: * issue #43: uncompressed BAM output * issue #42: skip tests requiring network if none available * issue #19: multiple iterators can now be made to work on the same tabix file * issue #24: All strings returned from/passed to the pysam API are now unicode in python 3 * issue #5: type guessing for lists of integers fixed
• API changes for consistency. The old API is still present, but deprecated. In particular:
  • Tabixfile -> TabixFile
  • Fastafile -> FastaFile
  • Fastqfile -> FastqFile
  • Samfile -> AlignmentFile

  • AlignedRead -> AlignedSegment

    • qname -> query_name
    • tid -> reference_id
    • pos -> reference_start
    • mapq -> mapping_quality
    • rnext -> next_reference_id
    • pnext -> next_reference_start
    • cigar -> cigartuples
    • cigarstring -> cigarstring
    • tlen -> template_length
    • seq -> query_sequence
    • qual -> query_qualities, now returns array
    • qqual -> query_alignment_qualities, now returns array
    • tags -> tags
    • alen -> reference_length, reference is always “alignment”, so removed
    • aend -> reference_end
    • rlen -> query_length
    • query -> query_alignment_sequence
    • qstart -> query_alignment_start
    • qend -> query_alignment_end
    • qlen -> query_alignment_length
    • mrnm -> next_reference_id
    • mpos -> next_reference_start
    • rname -> reference_id
    • isize -> template_length
    • blocks -> get_blocks()
    • aligned_pairs -> get_aligned_pairs()
    • inferred_length -> infer_query_length()
    • positions -> get_reference_positions()
    • overlap() -> get_overlap()

  • All strings are now passed to or received from the pysam API as strings, no more bytes.

Other changes:

• AlignmentFile.fetch(reopen) option is now multiple_iterators. The default changed to not reopen a file unless requested by the user.
• FastaFile.getReferenceLength is now FastaFile.get_reference_length

Backwards incompatible changes

• Empty cigarstring now returns None (instead of ‘’)
• Empty cigar now returns None (instead of [])
• When using the extension classes in cython modules, AlignedRead needs to be substituted with AlignedSegment.
• fancy_str() has been removed
• qual, qqual now return arrays

Release 0.8.0

• Disabled features

  • IteratorColumn.setMask() disabled as htslib does not implement this functionality?

• Not implemented yet:

  • reading SAM files without header

Tabix files between version 0.7.8 and 0.8.0 are not compatible and need to be re-indexed.

While version 0.7.8 and 0.8.0 should be mostly compatible, there are some notable exceptions:

• tabix iterators will fail if there are comments in the middle or the end of a file.
• tabix raises always ValueError for invalid intervals. Previously, different types of errors were raised (KeyError, IndexError, ValueError) depending on the type of invalid intervals (missing chromosome, out-of-range, malformatted interval).

Release 0.7.8

• added AlignedRead.setTag method
• added AlignedRead.blocks
• unsetting CIGAR strings is now possible
• empty CIGAR string returns empty list
• added reopen flag to Samfile.fetch()
• various bugfixes

Release 0.7.7

• added Fastafile.references, .nreferences and .lengths
• tabix_iterator now uses kseq.h for python 2.7

Release 0.7.6

• added inferred_length property
• issue 122: MACOSX getline missing, now it works?
• seq and qual can be set None
• added Fastqfile

Release 0.7.5

• switch to samtools 0.1.19
• issue 122: MACOSX getline missing
• issue 130: clean up tempfiles
• various other bugfixes

Release 0.7.4

• further bugfixes to setup.py and package layout

Release 0.7.3

• further bugfixes to setup.py
• upgraded distribute_setup.py to 0.6.34

Release 0.7.2

• bugfix in installer - failed when cython not present
• changed installation locations of shared libraries

Release 0.7.1

• bugfix: missing PP tag PG records in header
• added pre-built .c files to distribution

Release 0.7

• switch to tabix 0.2.6
• added cigarstring field
• python3 compatibility
• added B tag handling
• added check_sq and check_header options to Samfile.__init__
• added lazy GTF parsing to tabix
• reworked support for VCF format parsing
• bugfixes

Release 0.6

• switch to samtools 0.1.18
• various bugfixes
• removed references to deprecated ‘samtools pileup’ functionality
• AlignedRead.tags now returns an empty list if there are no tags.
• added pnext, rnext and tlen

Release 0.5

• switch to samtools 0.1.16 and tabix 0.2.5
• improved tabix parsing, added vcf support
• re-organized code to permit linking against pysam
• various bugfixes
• added Samfile.positions and Samfile.overlap

Release 0.4

• switch to samtools 0.1.12a and tabix 0.2.3
• added snp and indel calling.
• switch from pyrex to cython
• changed handling of samtools stderr
• various bugfixes
• added Samfile.count and Samfile.mate
• deprecated AlignedRead.rname, added AlignedRead.tid

Release 0.3

• switch to samtools 0.1.8
• added support for tabix files
• numerous bugfixes including
• permit simultaneous iterators on the same file
• working access to remote files

Benchmarking

Latest benchmarking results:

------------------------------------------------------------------------------------------------------------------------ benchmark: 57 tests ------------------------------------------------------------------------------------------------------------------------
Name (time in us)                                                              Min                     Max                    Mean                StdDev                  Median                   IQR            Outliers          OPS            Rounds  Iterations
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_set_binary_tag                                                        93.8382 (1.0)          199.8786 (1.0)           96.1554 (1.0)          2.6241 (1.0)           95.7036 (1.0)          1.2442 (1.0)       276;303  10,399.8372 (1.0)        3170           1
test_fasta_iteration_long_sequences_without_persistence                   145.3292 (1.55)         296.4940 (1.48)         176.5367 (1.84)        30.0896 (11.47)        167.2544 (1.75)        25.1532 (20.22)     840;579   5,664.5438 (0.54)       4972           1
test_fasta_iteration_long_sequences_as_file                               149.0638 (1.59)         312.6319 (1.56)         177.2990 (1.84)        30.5218 (11.63)        168.6383 (1.76)        27.7516 (22.30)     669;510   5,640.1883 (0.54)       4493           1
test_fasta_iteration_long_sequences                                       150.3211 (1.60)         429.9153 (2.15)         176.7384 (1.84)        30.7021 (11.70)        167.5002 (1.75)        21.7482 (17.48)     682;647   5,658.0803 (0.54)       4845           1
test_fasta_iteration_short_sequences_as_file                              190.6604 (2.03)         395.8736 (1.98)         216.6984 (2.25)        32.8710 (12.53)        208.9385 (2.18)        16.8057 (13.51)     291;326   4,614.7086 (0.44)       3205           1
test_read_python_uncompressed                                             214.1297 (2.28)         450.2051 (2.25)         234.6956 (2.44)        33.3642 (12.71)        223.4913 (2.34)        15.0129 (12.07)     140;221   4,260.8375 (0.41)       2043           1
test_fastq_iteration_short_sequences_as_file                              217.5961 (2.32)         420.1643 (2.10)         238.0264 (2.48)        30.4469 (11.60)        228.8874 (2.39)        15.5573 (12.50)     209;235   4,201.2146 (0.40)       2877           1
test_iterate_file_uncompressed                                            225.5719 (2.40)         481.0989 (2.41)         249.7603 (2.60)        40.7266 (15.52)        239.5548 (2.50)        15.9908 (12.85)     209;327   4,003.8387 (0.38)       3627           1
test_iterate_file_compressed                                              257.5517 (2.74)         576.6843 (2.89)         287.2536 (2.99)        49.8803 (19.01)        277.4149 (2.90)        14.3824 (11.56)     126;248   3,481.2446 (0.33)       3023           1
test_iterate_generic_uncompressed                                         344.8855 (3.68)         712.5959 (3.57)         370.9369 (3.86)        46.2477 (17.62)        365.0384 (3.81)        15.7915 (12.69)       54;83   2,695.8763 (0.26)       2240           1
test_iterate_parsed_uncompressed                                          349.3819 (3.72)         765.3460 (3.83)         378.1446 (3.93)        54.2199 (20.66)        369.5488 (3.86)        15.4320 (12.40)       48;69   2,644.4910 (0.25)       1638           1
test_read_python_compressed                                               462.0645 (4.92)         836.2234 (4.18)         493.6158 (5.13)        51.2946 (19.55)        485.5469 (5.07)        11.4385 (9.19)        28;46   2,025.8670 (0.19)        906           1
test_iterate_parsed_compressed                                            586.5730 (6.25)       1,050.1631 (5.25)         632.5464 (6.58)        82.6438 (31.49)        608.1080 (6.35)        20.1799 (16.22)     115;143   1,580.9117 (0.15)       1474           1
test_iterate_generic_compressed                                           587.7707 (6.26)       1,093.4286 (5.47)         639.6830 (6.65)        85.2593 (32.49)        612.6408 (6.40)        19.9433 (16.03)     105;144   1,563.2743 (0.15)       1260           1
test_fasta_iteration_short_sequences_without_persistence                  725.2563 (7.73)       1,091.6069 (5.46)         774.6549 (8.06)        53.0901 (20.23)        751.8455 (7.86)        45.0788 (36.23)     172;110   1,290.8974 (0.12)       1276           1
test_read_binary_tag                                                      817.2598 (8.71)       1,232.0559 (6.16)         902.7002 (9.39)        87.7807 (33.45)        871.5261 (9.11)        17.4227 (14.00)       39;55   1,107.7875 (0.11)        331           1
test_fastq_iteration_short_sequences_without_persistence                  840.3640 (8.96)       1,201.5756 (6.01)         870.9679 (9.06)        35.8709 (13.67)        866.1682 (9.05)        15.9768 (12.84)       53;85   1,148.1480 (0.11)       1124           1
test_count_number_lines_from_sam_with_pysam                             2,755.6140 (29.37)      9,656.9806 (48.31)      2,963.2206 (30.82)      729.0077 (277.81)     2,814.3115 (29.41)      106.2388 (85.38)        8;14     337.4707 (0.03)        281           1
test_fasta_iteration_short_sequences                                    2,905.5942 (30.96)      3,674.1439 (18.38)      2,982.3892 (31.02)       90.9585 (34.66)      2,941.2108 (30.73)       96.1348 (77.26)        27;7     335.3016 (0.03)        302           1
test_fastq_iteration_short_sequences                                    3,601.3145 (38.38)      4,065.5769 (20.34)      3,671.8361 (38.19)       71.5348 (27.26)      3,635.1625 (37.98)       81.5415 (65.53)       43;10     272.3433 (0.03)        243           1
test_count_number_lines_from_bam_with_pysam                             4,178.8872 (44.53)     12,063.5536 (60.35)      4,395.9713 (45.72)      794.3991 (302.73)     4,240.1757 (44.31)       67.0198 (53.86)        6;19     227.4810 (0.02)        205           1
test_build_depth_from_bam_with_pysam                                    6,290.2980 (67.03)      6,788.0806 (33.96)      6,420.3862 (66.77)      126.5447 (48.22)      6,357.6270 (66.43)       94.3104 (75.80)       35;29     155.7539 (0.01)        145           1
test_build_depth_with_filter_from_bam_with_pysam                        6,935.8926 (73.91)      8,309.5767 (41.57)      7,085.6801 (73.69)      221.5069 (84.41)      7,005.6170 (73.20)       74.4388 (59.83)       14;27     141.1297 (0.01)        139           1
test_build_query_positions_from_bam_with_pysam                          8,729.2437 (93.02)     16,836.6525 (84.23)      9,173.2902 (95.40)    1,057.4321 (402.97)     8,885.4395 (92.84)      264.7634 (212.79)        3;9     109.0121 (0.01)        103           1
test_build_mapping_qualities_from_bam_with_pysam                        8,805.0570 (93.83)     15,829.8910 (79.20)      9,274.7475 (96.46)      964.6925 (367.63)     9,004.7438 (94.09)      354.9103 (285.24)        4;9     107.8196 (0.01)        106           1
test_build_query_qualities_from_bam_with_pysam                          8,947.6798 (95.35)     16,756.8158 (83.83)      9,272.9117 (96.44)    1,008.7759 (384.43)     9,017.0493 (94.22)      217.2068 (174.57)        3;5     107.8410 (0.01)         94           1
test_build_query_bases_from_bam_with_samtoolspysam                      9,149.0448 (97.50)      9,776.0092 (48.91)      9,208.3405 (95.77)       86.1889 (32.85)      9,190.2809 (96.03)       34.1963 (27.48)         5;7     108.5972 (0.01)         84           1
test_count_number_lines_from_bam_with_samtoolspipe                     10,431.4052 (111.16)    13,431.7447 (67.20)     11,052.2360 (114.94)     445.8241 (169.90)    11,014.8042 (115.09)     492.6044 (395.91)       17;3      90.4794 (0.01)         90           1
test_count_number_lines_from_bam_with_samtools                         12,057.8520 (128.50)    13,537.5429 (67.73)     12,595.0708 (130.99)     381.1799 (145.26)    12,499.5783 (130.61)     457.8107 (367.94)       25;1      79.3961 (0.01)         73           1
test_count_number_lines_from_sam_with_samtoolspipe                     12,434.8756 (132.51)    14,234.1983 (71.21)     13,034.1032 (135.55)     371.0373 (141.40)    13,049.9089 (136.36)     464.8147 (373.57)       21;3      76.7218 (0.01)         72           1
test_build_query_bases_from_bam_with_pysam                             12,811.6887 (136.53)    19,972.7099 (99.92)     13,268.7908 (137.99)   1,103.9459 (420.70)    13,023.1632 (136.08)     202.3596 (162.64)        4;6      75.3648 (0.01)         76           1
test_build_pileup_from_bam_with_samtoolspipe                           13,480.7490 (143.66)    15,413.4836 (77.11)     13,968.3817 (145.27)     362.1282 (138.00)    13,917.4843 (145.42)     447.9736 (360.04)       12;3      71.5903 (0.01)         66           1
test_count_number_lines_from_sam_with_samtools                         13,963.2300 (148.80)    15,936.2238 (79.73)     14,442.5627 (150.20)     340.4846 (129.75)    14,395.4996 (150.42)     339.3036 (272.70)       12;2      69.2398 (0.01)         59           1
test_build_pileup_from_bam_with_samtoolsshell                          15,140.2969 (161.34)    16,469.8567 (82.40)     15,525.9034 (161.47)     256.0741 (97.59)     15,526.7641 (162.24)     318.5044 (255.98)       13;2      64.4085 (0.01)         51           1
test_build_depth_from_bam_with_samtoolsshell                           15,291.4841 (162.96)    16,387.9916 (81.99)     15,656.5365 (162.83)     217.2420 (82.79)     15,609.9945 (163.11)     258.9412 (208.11)       16;2      63.8711 (0.01)         57           1
test_build_query_bases_from_bam_with_samtoolspipe                      15,478.0652 (164.94)    17,068.8462 (85.40)     16,072.5749 (167.15)     327.6668 (124.87)    16,040.5049 (167.61)     428.1597 (344.11)       18;2      62.2178 (0.01)         60           1
test_build_query_bases_from_bam_with_samtoolsshell                     15,765.5794 (168.01)    17,102.8059 (85.57)     16,305.4955 (169.57)     367.6865 (140.12)    16,256.2486 (169.86)     593.9230 (477.34)       20;0      61.3290 (0.01)         57           1
test_build_depth_from_bam_with_samtoolspipe                            16,024.7944 (170.77)    25,804.2309 (129.10)    17,041.3497 (177.23)   1,522.0046 (580.01)    16,726.8887 (174.78)     767.1015 (616.52)        1;1      58.6808 (0.01)         40           1
test_build_query_qualities_from_bam_with_samtoolspipe                  16,275.7467 (173.44)    18,501.0433 (92.56)     17,262.6517 (179.53)     642.2656 (244.76)    17,255.3696 (180.30)   1,060.3429 (852.20)       20;0      57.9285 (0.01)         51           1
test_build_pileup_from_bam_with_pysam                                  16,632.5681 (177.25)    19,306.6560 (96.59)     17,037.7162 (177.19)     531.0751 (202.38)    16,870.8330 (176.28)     279.1677 (224.37)        3;4      58.6933 (0.01)         32           1
test_build_mapping_qualities_from_bam_with_samtoolspipe                17,398.3518 (185.41)    18,481.6569 (92.46)     17,832.1261 (185.45)     294.9103 (112.39)    17,837.8206 (186.39)     511.8400 (411.37)       21;0      56.0786 (0.01)         52           1
test_build_query_names_from_bam_with_pysam                             31,534.0199 (336.05)    38,316.2647 (191.70)    32,677.2804 (339.84)   1,371.6101 (522.70)    32,179.0325 (336.24)   1,392.1391 (>1000.0)       3;1      30.6023 (0.00)         30           1
test_fetch_plain                                                       43,747.1233 (466.20)    48,690.7829 (243.60)    44,573.8085 (463.56)   1,170.8588 (446.20)    44,067.5411 (460.46)   1,436.5837 (>1000.0)       3;1      22.4347 (0.00)         22           1
test_build_query_positions_from_bam_with_samtoolspipe                  46,316.5548 (493.58)    53,700.3577 (268.66)    48,235.6640 (501.64)   1,861.0317 (709.21)    47,625.2194 (497.63)   2,603.7074 (>1000.0)       6;1      20.7315 (0.00)         21           1
test_build_query_bases_with_reference_from_bam_with_samtoolspysam      51,565.1479 (549.51)    53,523.1121 (267.78)    51,778.6650 (538.49)     424.4621 (161.76)    51,656.8925 (539.76)     110.5051 (88.81)         1;4      19.3130 (0.00)         20           1
test_build_query_bases_with_reference_from_bam_with_pysam              58,850.6740 (627.15)    62,164.5451 (311.01)    60,161.6779 (625.67)   1,120.6101 (427.05)    59,595.2785 (622.71)   1,995.0196 (>1000.0)       7;0      16.6219 (0.00)         16           1
test_iterate_file_large_uncompressed                                   59,419.9076 (633.22)    69,053.0874 (345.48)    62,825.7126 (653.38)   3,805.1150 (>1000.0)   60,805.1391 (635.35)   6,407.6949 (>1000.0)       3;0      15.9170 (0.00)         14           1
test_iterate_file_large_compressed                                     63,986.9571 (681.89)    74,156.9120 (371.01)    68,370.8835 (711.05)   3,254.6200 (>1000.0)   67,221.2075 (702.39)   4,770.3525 (>1000.0)       5;0      14.6261 (0.00)         16           1
test_read_python_large_uncompressed                                    67,611.8080 (720.51)    89,112.1533 (445.83)    73,631.8916 (765.76)   5,978.7052 (>1000.0)   71,702.4822 (749.21)   7,856.0165 (>1000.0)       2;1      13.5811 (0.00)         13           1
test_fetch_parsed                                                      72,237.5344 (769.81)    81,976.9856 (410.13)    74,540.4099 (775.21)   2,326.3668 (886.54)    74,016.3419 (773.39)   1,579.0667 (>1000.0)       1;1      13.4155 (0.00)         14           1
test_build_query_bases_from_bam_with_pysam_pileups                     75,841.3766 (808.21)    87,975.1425 (440.14)    79,393.9784 (825.68)   3,516.2458 (>1000.0)   79,346.7313 (829.09)   5,217.5033 (>1000.0)       2;0      12.5954 (0.00)         13           1
test_build_query_bases_with_reference_from_bam_with_samtoolspipe      131,162.9396 (>1000.0)  132,858.8147 (664.70)   131,838.0199 (>1000.0)    595.6090 (226.98)   131,801.5633 (>1000.0)    956.9665 (769.11)        2;0       7.5851 (0.00)          8           1
test_iterate_parsed_large_uncompressed                                132,991.8914 (>1000.0)  140,153.4099 (701.19)   134,101.5892 (>1000.0)  2,452.3161 (934.54)   133,218.1590 (>1000.0)    396.3616 (318.56)        1;1       7.4570 (0.00)          8           1
test_iterate_generic_large_uncompressed                               134,743.7277 (>1000.0)  142,329.4526 (712.08)   138,167.4954 (>1000.0)  3,346.7773 (>1000.0)  136,839.1849 (>1000.0)  6,541.1879 (>1000.0)       4;0       7.2376 (0.00)          8           1
test_read_python_large_compressed                                     175,127.6311 (>1000.0)  190,855.1529 (954.86)   181,702.9339 (>1000.0)  5,756.2207 (>1000.0)  181,221.0185 (>1000.0)  8,577.6616 (>1000.0)       2;0       5.5035 (0.00)          6           1
test_iterate_parsed_large_compressed                                  231,405.7611 (>1000.0)  243,728.8519 (>1000.0)  239,037.8296 (>1000.0)  5,212.7778 (>1000.0)  241,544.3324 (>1000.0)  8,062.6113 (>1000.0)       1;0       4.1834 (0.00)          5           1
test_iterate_generic_large_compressed                                 235,042.3876 (>1000.0)  256,518.8371 (>1000.0)  242,535.5468 (>1000.0)  8,272.5197 (>1000.0)  240,163.0748 (>1000.0)  8,360.1568 (>1000.0)       1;0       4.1231 (0.00)          5           1
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Glossary

BAM

Binary SAM format. BAM files are binary formatted, indexed and allow random access.

BCF

Binary VCF.

BED

Browser Extensible Data format. A text file format used to store genomic regions as coordinates and associated notations.

bgzip

Utility in the htslib package to block compress genomic data files.

cigar

Stands for Compact Idiosyncratic Gapped Alignment Report and represents a compressed (run-length encoded) pairwise alignment format. It was first defined by the Exonerate Aligner, but was alter adapted and adopted as part of the SAM standard and many other aligners. In the Python API, the cigar alignment is presented as a list of tuples (operation,length). For example, the tuple [ (0,3), (1,5), (0,2) ] refers to an alignment with 3 matches, 5 insertions and another 2 matches.

column

The portion of reads aligned to a single base in the

reference sequence.

contig

The sequence that a tid refers to. For example chr1, contig123.

CRAM

CRAM is a binary format representing the same sequence alignment information as SAM and BAM, but offering significantly better lossless compression than BAM.

faidx

Utility in the samtools package to index fasta formatted files.

FASTA

Simple text format containing sequence data, with only the bare minimum of metadata. Typically used for reference sequence data.

FASTQ

Simple text format containing sequence data and associated base qualities.

fetching

Retrieving all mapped reads mapped to a region.

genotype

An individual’s collection of genes. It can also refer to the two alleles

inherited for a particular gene.

GTF

The Gene Transfer Format is a file format used to hold information

about gene structure.

hard clipping

hard clipped

In hard clipped reads, part of the sequence has been removed prior to alignment. That only a subsequence is aligend might be recorded in the cigar alignment, but the removed sequence will not be part of the alignment record, in contrast to soft clipped reads.

pileup

Pileup

reference

Synonym for contig.

region

A genomic region, stated relative to a reference sequence. A region consists of reference name (‘chr1’), start (15000), and end (20000). Start and end can be omitted for regions spanning a whole chromosome. If end is missing, the region will span from start to the end of the chromosome. Within pysam, coordinates are 0-based half-open intervals, i.e., the first base of the reference sequence is numbered zero; and the base at position start is part of the interval, but the base at end is not.

When a region is written as a single string using samtools-compatible notation, e.g., ‘chr1:15001-20000’, the string’s coordinates instead represent a 1-based closed interval, i.e., both (1-based) positions 15,001 and 20,000 are part of the interval. (This example denotes the same 5,000-base region as the example in the previous paragraph.)

SAM

A textual format for storing genomic alignment information.

sam file

A file containing aligned reads. The sam file can either be a BAM file or a TAM file.

soft clipping

soft clipped

In alignments with soft clipping part of the query sequence are not aligned. The unaligned query sequence is still part of the alignment record. This is in difference to hard clipped reads.

tabix

Utility in the htslib package to index bgzip compressed files.

tabix file

A sorted, compressed and indexed tab-separated file created by the command line tool tabix or the commands tabix_compress() and tabix_index(). The file is indexed by chromosomal coordinates.

tabix row

A row in a tabix file. Fields within a row are tab-separated.

TAM

Text SAM file. TAM files are human readable files of tab-separated fields. TAM files do not allow random access.

target

The sequence that a read has been aligned to. Target sequences have bot a numerical identifier (tid) and an alphanumeric name (Reference).

tid

The target id. The target id is 0 or a positive integer mapping to entries within the sequence dictionary in the header section of a TAM file or BAM file.

VCF

Variant Call Format.

Indices and tables

Contents:

• Index
• Module Index
• Search Page

References

[Li.2009]

The Sequence Alignment/Map format and SAMtools. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R; 1000 Genome Project Data Processing Subgroup. Bioinformatics. 2009 Aug 15;25(16):2078-9. Epub 2009 Jun 8 btp352. PMID: 19505943.

[Bonfield.2021]

HTSlib: C library for reading/writing high-throughput sequencing data. Bonfield JK, Marshall J, Danecek P, Li H, Ohan V, Whitwham A, Keane T, Davies RM. GigaScience (2021) 10(2) giab007. PMID: 33594436.

[Danecek.2021]

Twelve years of SAMtools and BCFtools. Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V, Pollard MO, Whitwham A, Keane T, McCarthy SA, Davies RM, Li H. GigaScience (2021) 10(2) giab008. PMID: 33590861.

See also

Information about htslib

http://www.htslib.org

The samtools homepage

http://samtools.sourceforge.net

The cython C-extensions for python

https://cython.org/

The python language

https://www.python.org