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behaviour of bowtie compared to junction aligners?

Hi,

I have human RNASeq data generated using lexogen kit. I have followed their analysis protocol (to process raw data). Then used tophat2 for alignment, observed only 53%. check unalinged using blast they are going human rRNA sequences end2end. Then i used hisat2, the % increased to 75. Then tried bowtie2 end2end parameter (which does not align junction read i assume) has given 79%.

Unaligned reads from different aligners checked against NCBI NT using BLAST they are hitting to human rRNAs/ncRNAs. Questions,

  1. How bowtie is preforming better than junction aligners?

  2. How do i improve the overall alignment?

Reference used was GRCh38 from ensemble

I have seen the same trend for fungi sample as well.

Any in site what could be the reason?

rna-seq alignment

Did you use equivalent settings for each aligner? Could you post the command-line for each aligner?

used default parameters, bowtie2 end-end, same in tophat enabled b2-sensitive.

1 answer

  1. It shouldn't, since it'll miss everything that's spliced
  2. Use STAR or another mapper that allows local alignment. You should get 90+% alignment.

I think you missed this part.

Unaligned reads from different aligners checked against NCBI NT using BLAST they are hitting to human rRNAs/ncRNAs.

popayekid55 : Not much you can do if above is true.

I saw that, my presumption is that the edit distance is high enough that the reads aren't aligned by the aligners used.

Or the reference did not contain rDNA repeat.

That's usually part of the human reference, though if this were mouse I'd agree.

Unaligned reads from different aligners checked against NCBI NT using BLAST they are hitting to human rRNAs/ncRNAs.

Reason I thought that the reference here must not have rDNA.

Not much you can do if above is true.

how bowtie is performing better than splice aligners?

TopHat2 generally uses bowtie2. Are you sure you were using bowtie v.1?

i have used bowtie2-2.2.5 version. Same version was imported to tophat as well

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