WIFA-X Identification of cancer-driver genes in focal genomic aberrations from whole exome sequencing data

 

 
News
2017/06/22: Source codes are updated.
Introduction
It integrates whole exome sequencing data sets from multiple cancer samples and identify recurrent aberrations across multiple samples. The use of the wavelet analysis, being a multi-resolution approach, makes it possible to effectively identify focal genomic aberrations in the broadly aberrant regions.
Paper Jang, H. and Lee, H. (2017) Identification of cancer-driver genes in focal genomic aberrations from whole exome sequencing data
Source codes
Source codes are available here. Please refer to the manaul pdf file in the zip file. If you want to use log2 ratio copy number input instead of using internal copy number quantification step. Click here.
Contacts
hyunjulee at gist.ac.kr