unexpected unalign reads in capture sequencing #1410
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Hi, I analyzed the capture sequencing data (TRB) with mixcr, but got some very low align pct in align step, and the unaligned reads were matched well with TRBV region. What's the rules that specify the align reads and unaligned reads? Whether the reads must contain CDR3 parts? I found the Maybe I have missed something or misunderstood it. Exact MiXCR commands
MiXCR report files
Some of the unaligned reads' bam info:
Thank you for any help! |
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Replies: 3 comments
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Also, I found there were significant differences at the final clones' ReadsCount between DNA and RNA-seq for another sample. And the RNA data had more assemble clones. Was this result normal? I used to think gDNA and RNA data both can apply to analyze IG/TR rearrangement, but the DNA result is unexpected, Can you give some advices? Thank you. |
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Hi, The
Any reads that don't overlap with the The reads you have shared seem to only span portions of the V gene (like the UTR, Leader, and Intron), making it ambiguous as to which clones they should be attributed to. However, a yield of 24.31% is quite commendable, especially for targeted exome-seq. |
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Thank you for the clear interpretation! |
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Hi,
The
exome-seq
preset processes two types of reads:CDR3
region.CDR3
region.Any reads that don't overlap with the
CDR3
region are discarded. This is because, without covering theCDR3
, it's challenging to reliably assign alignments to a specific clone. However, the approach differs for SingleCell analysis. In that context, even reads that don't cover theCDR3
are retained. This is due to the understanding that such a read would have originated from one of the clones within a particular cell - a certainty we don't have in bulk repertoire analysis.The reads you have shared seem to only span portions of the V gene (like the UT…