Comments (4)
Dear Constantine,
Sorry, I thought that Dmitry forwarded my answer to you.
This random effect comes from aligner which randomly drops K-mer seeds onto target sequence. Our recent benchmarks also showed that aligner parameters for the J gene are not optimal for highly hypermutated IG sequences (which is the case in your data). We plan to optimize all this things in the 1.6~1.7 release. For now, you can download the latest MiXCR version (v1.4) and use denser seeds for J aligner to make results more stable. Actually, fixes in this release were inspired by your question.
Here is the command line example that fixes the issue with MiXCR v1.4:
mixcr align -OjParameters.parameters.mapperMaxSeedsDistance=5 input.fasta output.vdjca
I'll leave this issue opened till we optimise J aligner.
Thanks for reporting!
from mixcr.
Great, I will test this out. Thank you very much.
On Tue, Aug 25, 2015 at 9:52 AM, dbolotin [email protected] wrote:
Dear Constantine,
Sorry, I thought that Dmitry forwarded my answer to you.
This random effect comes from aligner which randomly drops K-mer seeds
onto target sequence. Our recent benchmarks also showed that aligner
parameters for the J gene are not optimal for highly hypermutated IG
sequences (which is the case in your data). We plan to optimize all this
things in the 1.6~1.7 release. For now, you can download the latest MiXCR
version (v1.4) and use denser seeds for J aligner to make results more
stable. Actually, fixes in this release were inspired by your question.
Here is the command line example that fixes the issue with MiXCR v1.4:mixcr align -OjParameters.parameters.mapperMaxSeedsDistance=5 input.fasta output.vdjca
I'll leave this issue opened till we optimise J aligner.
Thanks for reporting!
—
Reply to this email directly or view it on GitHub
#3 (comment).
from mixcr.
This issue is connected with #28 .
from mixcr.
Fixed circa 1.8 release.
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