Re: Extract junction reads from bam
Wei Shi <[email protected]>
| Newsgroups | gmane.science.biology.informatics.conductor |
|---|---|
| Message-ID | <[email protected]> |
Dear Helen,
If you just want to get the number of reads mapping to that junction (not the actual reads), you can try featureCounts function in Rsubread package. It has a parameter called 'countSplitAlignmentsOnly' which allows you to count exon-spanning reads only. It is extremely fast.
Best wishes,
Wei
On Aug 19, 2014, at 6:32 AM, Helen Zhou wrote:
> Dear Sir/Madam,
>
> I have a bam file with reads from a paired-end RNA-seq experiments, and I would like to extract all reads that span a particular intron/exon junction. For example where part of a read maps to exon ABC starting at chr 1 position 66909348. I do not know where the first part of the read maps; there are multiple possible exons being spliced to exon ABC.
>
> I can extract all reads mapping to and spanning for example 50nt around the junction, saying:
> library(GenomicRanges)
> loc <-RangesList('1'=IRanges(start=6690298,end=6690398))
> parameter <- ScanBamParam(which=loc, what=extract, simpleCigar=FALSE, reverseComplement=FALSE)
> aln <- readGAlignmentsFromBam("test.bam", param=parameter)
>
> However, this includes all the reads that span across this region because the ends of the read map outside the area indicated in 'loc'. How can I get only the reads where (part of) the read starts mapping at the exact intron/exon location at position 66909348?
>
> Thanks you
> H Zhou
> [[alternative HTML version deleted]]
>
> _______________________________________________
> Bioconductor mailing list
> [email protected]
> https://stat.ethz.ch/mailman/listinfo/bioconductor
> Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
______________________________________________________________________
The information in this email is confidential and intend...{{dropped:6}}
_______________________________________________
Bioconductor mailing list
[email protected]
https://stat.ethz.ch/mailman/listinfo/bioconductor
Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor