$ npm install --save @gmod/bam
const { BamFile } = require('@gmod/bam') // or import {BamFile} from '@gmod/bam'
const t = new BamFile({
bamPath: 'test.bam',
})
var header = await t.getHeader()
// this would get same records as samtools view ctgA:1-50000
var records = await t.getRecordsForRange('ctgA', 0, 49999)
Input are 0-based half-open coordinates (note: not the same as samtools view coordinate inputs!)
Since 1.0.41 we support htsget!
Here is a small code snippet for this
const { HtsgetFile } = require('@gmod/bam')
const ti = new HtsgetFile({
baseUrl: 'http://htsnexus.rnd.dnanex.us/v1/reads',
trackId: 'BroadHiSeqX_b37/NA12878',
})
await ti.getHeader()
const records = await ti.getRecordsForRange(1, 2000000, 2000001)
The BAM class constructor accepts arguments
- bamPath/bamUrl/bamFilehandle - a string file path to a local file or a class object with a read method
- csiPath/csiUrl/csiFilehandle - a CSI index for the BAM file, required for long chromosomes greater than 2^29 in length
- baiPath/baiUrl/baiFilehandle - a BAI index for the BAM file
- fetchSizeLimit - total size of the number of chunks being fetched at once. default: ~50MB
- chunkSizeLimit - size limit on any individual chunk. default: ~10MB
- cacheSize - limit on number of chunks to cache. default: 50
- yieldThreadTime - the interval at which the code yields to the main thread when it is parsing a lot of data. default: 100ms. Set to 0 to performed no yielding
Note: filehandles implement the Filehandle interface from https://www.npmjs.com/package/generic-filehandle. This module offers the path and url arguments as convenience methods for supplying the LocalFile and RemoteFile
- refName - a string for the chrom to fetch from
- start - a 0 based half open start coordinate
- end - a 0 based half open end coordinate
- opts.signal - an AbortSignal to indicate stop processing
- opts.viewAsPairs - re-dispatches requests to find mate pairs. default: false
- opts.pairAcrossChr - control the viewAsPairs option behavior to pair across chromosomes. default: false
- opts.maxInsertSize - control the viewAsPairs option behavior to limit distance within a chromosome to fetch. default: 200kb
This is a async generator function that takes the same signature as getRecordsForRange but results can be processed using
for await(const chunk of file.streamRecordsForRange(refName, start, end, opts)) {
}
The getRecordsForRange simply wraps this process by concatenating chunks into an array
This obtains the header from HtsgetFile or BamFile. Retrieves BAM file and BAI/CSI header if applicable, or API request for refnames from htsget
- refName - a string for the chrom to fetch from
- start - a 0 based half open start coordinate (optional)
- end - a 0 based half open end coordinate (optional)
Returns features of the form {start, end, score} containing estimated feature density across 16kb windows in the genome
- refName - a string for the chrom to fetch from
Returns number of features on refName, uses special pseudo-bin from the BAI/CSI index (e.g. bin 37450 from bai, returning n_mapped from SAM spec pdf) or -1 if refName not exist in sample
- refName - a string for the chrom to check
Returns whether we have this refName in the sample
The returned features from BAM are lazy features meaning that it delays processing of all the feature tags until necessary.
You can access data feature.get('field') to get the value of a feature attribute
Example
feature.get('seq_id') // numerical sequence id corresponding to position in the sam header
feature.get('start') // 0 based half open start coordinate
feature.get('end') // 0 based half open end coordinate
feature.get('name') // QNAME
feature.get('seq') // feature sequence
feature.get('qual') // qualities
feature.get('cigar') // cigar string
feature.get('MD') // MD string
feature.get('SA') // supplementary alignments
feature.get('template_length') // TLEN
feature.get('length_on_ref') // derived from CIGAR using standard algorithm
feature.get('flags') // see https://broadinstitute.github.io/picard/explain-flags.html
BAM tags such as MD can be obtained via
feature.get('MD')
A full list of tags that can be obtained can be obtained via
feature._tags()
The feature format may change in future versions to be more raw data records, but this will be a major version bump
MIT © Colin Diesh