Closed ZReplicant closed 1 year ago
Dear Zhanna,
For pe 110bp I'd recommend paired-end adapter trimming beforehand, and maybe quality trimming, if e.g. fastqc shows quality declines with length. Tools: Seqpurge, or cutadapt if quality trimming is required. Soft-clipped bases are counted as mismatches. Thresholds should still be ok. You could elevate the mismatch threshold and unmapped penalty to 8 and 12, or disable the first by setting it to readlength.
Best regards, Roel
On Wed, 15 Mar 2023, 19:07 Zhanna, @.***> wrote:
Hello!
Thanks for developing this tool. I tried running XenofilteR, and it worked without any issues. However, I used the basic command mentioned in the readme: XenofilteR(sample.list, destination.folder = in_path, bp.param = bp.param, output.names) Even though my reads are 110 bp (paired-end, RNA-seq DEG-analysis expreiment).
I thought I could change the parameters like it was written in the readme. Would you please recommend the values for MM_threshold and Unmapped_penalty as I was not able to google any clues?
Thank you.
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Dear Roel,
Thank you very much for the fast answer. I did perform adapter and quality trimming beforehand. Then, I will probably stick with the default parameters. Will raising the mismatch threshold and unmapped penalty to 8 and 12 improve specificity in my case?
Best regards, Zhanna
I'd say raising thresholds can increase sensitivity, but specificity can only decrease.
Ok, thank you again. Your answers really helped!
Hello!
Thanks for developing this tool. I tried running XenofilteR, and it worked without any issues. However, I used the basic command mentioned in the readme:
XenofilteR(sample.list, destination.folder = in_path, bp.param = bp.param, output.names)
Even though my reads are 110 bp (paired-end, RNA-seq DEG-analysis experiment).I thought I could change the parameters like it was written in the readme. Would you please recommend the values for
MM_threshold
andUnmapped_penalty
as I was not able to google any clues?Thank you.