SuperFreq analyses SNVs and CNAs of multiple cancer exomes, sharing all information across samples and mutation types. The inputs are the bam-files and a preliminary SNV calling in .vcf format. SuperFreq filters and annotates the SNVs, calls CNAs and tracks clones over samples from the same individual. A matched normal improves results, but is not necessary. SuperFreq requireas at least two (preferably 5-10 or more) reference normal samples that do not have to be related to the studied cancer samples, but must be from the same sequencing platform and capture. These are used to improve results through variance of read depth and requrring false SNVs amongst other things. SuperFreq produces ample output in terms of plots and spread sheets, both for identifying properties of the cancer samples and for quality control.
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.