Simple SAM parsing

Requiring no external dependencies (except a samtools installation for BAM reading)

Installation

pip install simplesam

Usage

For complete module documentation visit ReadTheDocs.

Quickstart

pythonCopy
>>> from simplesam import Reader, Writer

Read from SAM/BAM files

pythonCopy
# can also read BAM
>>> in_file = open('data/NA18510.sam', 'r')
>>> in_sam = Reader(in_file)

Access alignments using an iterator interface

pythonCopy
>>> x = next(in_sam)
>>> type(x)
<class 'simplesam.Sam'>
>>> x
Sam(1:2:SRR011051.1022326)
>>> x.qname
'SRR011051.1022326'
>>> x.rname
'1'
>>> x.pos
2
>>> x.seq
'AACCCTAACCCCTAACCCTAACCCTAACCCTACCCCTAACCCTACCCCTCC'
>>> x.qual
'?<:;;=;>;<<<>96;<;;99;<=3;4<<:(;,<;;/;57<;%6,=:,((3'
>>> x.cigar
'8M1I42M'
>>> x.cigars
((8, 'M'), (1, 'I'), (42, 'M'))
>>> x.gapped('seq')
'AACCCTAACCCTAACCCTAACCCTAACCCTACCCCTAACCCTACCCCTCC'
>>> len(x)
50
>>> x.flag
35
>>> x.mapped
True
>>> x.paired
True
>>> x.duplicate
False
>>> x.secondary
False
>>> x.coords
[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51]
>>> x.tags
{'H1': 0, 'UQ': 33, 'RG': 'SRR011051', 'H0': 0, 'MF': 130, 'Aq': 25, 'NM': 2}
>>> str(x)
'SRR011051.1022326\t35\t1\t2\t255\t8M1I42M\t*\t0\t0\tAACCCTAACCCCTAACCCTAACCCTAACCCTACCCCTAACCCTACCCCTCC\t?<:;;=;>;<<<>96;<;;99;<=3;4<<:(;,<;;/;57<;%6,=:,((3\tAq:i:25\tH0:i:0\tH1:i:0\tMF:i:130\tNM:i:2\tRG:Z:SRR011051\tUQ:i:33\n'

Read the SAM sequence header structure

pythonCopy
>>> from pprint import pprint
>>> pprint(in_sam.header)
{'@HD': OrderedDict([('VN:1.0', ['GO:none', 'SO:coordinate'])]),
 '@SQ': {'SN:1': ['LN:247249719'],
         'SN:2': ['LN:242951149'],
         'SN:3': ['LN:199501827'],
         'SN:4': ['LN:191273063'],
         'SN:5': ['LN:180857866'],
         'SN:6': ['LN:170899992'],
         'SN:7': ['LN:158821424'],
         'SN:8': ['LN:146274826'],
         ...
 '@RG': {'ID:SRR011049': ['PL:ILLUMINA',
                           'PU:BI.PE.080626_SL-XAN_0002_FC304CDAAXX.080630_SL-XAN_0007_FC304CDAAXX.5',
                           'LB:Solexa-5112',
                           'PI:330',
                           'SM:NA18510',
                           'CN:BI'],
          'ID:SRR011050': ['PL:ILLUMINA',
                           'PU:BI.PE.080626_SL-XAN_0002_FC304CDAAXX.080630_SL-XAN_0007_FC304CDAAXX.6',
                           'LB:Solexa-5112',
                           'PI:330',
                           'SM:NA18510',
                           'CN:BI'],
         ...}
         }
}

Write SAM files from Sam objects

pythonCopy
# Reader and Writer can also use the context handler (with: statement)
>>> out_file = open('test.sam', 'w')
>>> out_sam = Writer(out_file, in_sam.header)
>>> out_sam.write(x)
>>> out_sam.close()

Write SAM files from Sam objects to stdout (allows samtools view compression)

pythonCopy
>>> from sys import stdout
>>> stdout_sam = Writer(stdout, in_sam.header)
>>> stdout_sam.write(x)
>>> stdout_sam.close()

bashCopy
$ python my_script_that_uses_simplesam.py | samtools view -hbo test.bam

Example scripts

An example script pileup.py is installed with this module.
This script will generate an output that is similar to samtools pileup with the addition of several optional columns that summarize
counts for individual nucleotides (ACTGN) and deletions with respect to the reference (-). This script leverages the Sam.gapped() and
Sam.parse_md() methods to reconstruct position-specific counts from SAM alignment records.

bashCopy
$ pileup.py -h
usage: pileup [-h] [--version] [-c] [-i STATS] bam pileup

generate a simple pileup-like file from a sorted/indexed BAM file

positional arguments:
  bam                   sorted/indexed BAM file
  pileup                pileup output file

optional arguments:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  -c, --counts          display counts for A/C/T/G/N/- separately (default: False)
  -i STATS, --stats STATS
                        tabulate mismatches to output file