Dear Miller,
Thanks so much for you reply so quickly, I will try this bam-readcount to pull VAFs from both bam.
One more question: for your CNV segment file, I found those distance of segment windows are so diverse in different chromosome:
chr1 1 351000
chr1 351001 650000
chr2 1 215000
chr3 1 500000
...
I just wonder which tools you used? Actually, I use VarScan, Conifer and CNVkit to call CNV, segmented by DNAcopy. but when I got segment CNV should I convert by Bedtools -w 50k (or other num) to make window distance, and re-calulated again? or just used DNAcopy segment CNV as input file for sciclone? before input to sciclone should I remove those CNV changed region or I can give all the info to sciclone, later use copyNumberMargins=0.25 to filter out?
Also I saw you CNV segment value already changed back to real CNV copy number: like (2^0.5)*2, but in R script still use
copyNumberMargins=0.25
Thanks for you help and your tools are really really nice and help our team a lots. Haitao