How to differentiate driver mutations from common/random mutations and SNPs in cancer

kumardeep · 09-04-2012, 01:51 AM

Hi all,

I am working on RNA-seq data ( our own experimental data) for some cancer types of human. I want to know whether the genes found/mapped in the raw data have mutations significantly different from the normal mutations found in the cells. (i.e. distinguish somatic mutations from germline mutations). Also I want to negate significant driver mutations from the SNPs. So what packages are available for this task (what is the protocol exactly) ?. Also, which databases I have to compare my data with to exclude the obvious mutations/variations in my patient samples?

Thanks
Regards
Kumardeep

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09-04-2012, 01:51 AM	#1
kumardeep Member Location: Chandigarh, India Join Date: Apr 2012 Posts: 15	How to differentiate driver mutations from common/random mutations and SNPs in cancer Hi all, I am working on RNA-seq data ( our own experimental data) for some cancer types of human. I want to know whether the genes found/mapped in the raw data have mutations significantly different from the normal mutations found in the cells. (i.e. distinguish somatic mutations from germline mutations). Also I want to negate significant driver mutations from the SNPs. So what packages are available for this task (what is the protocol exactly) ?. Also, which databases I have to compare my data with to exclude the obvious mutations/variations in my patient samples? Thanks Regards Kumardeep