| Literature DB >> 28463398 |
Priyanka Dhingra1,2, Yao Fu3, Mark Gerstein4,5,6, Ekta Khurana1,2,7,8.
Abstract
The identification of non-coding drivers remains a challenge and bottleneck for the use of whole-genome sequencing in the clinic. FunSeq2 is a computational tool for annotation and prioritization of somatic mutations in coding and non-coding regions. It integrates a data context made from large-scale genomic datasets and uses a high-throughput variant prioritization pipeline. This unit provides guidelines for installing and running FunSeq2 to (a) annotate and prioritize variants, (b) incorporate user-defined annotations, and (c) detect differential gene expression. © 2017 by John Wiley & Sons, Inc.Keywords: cancer drivers; differential gene expression; disease-causing; indels; non-coding variants; single nucleotide variants
Mesh:
Year: 2017 PMID: 28463398 DOI: 10.1002/cpbi.23
Source DB: PubMed Journal: Curr Protoc Bioinformatics ISSN: 1934-3396