GFusion: an Effective Algorithm to Identify Fusion Genes from Cancer RNA-Seq Data.

ABSTRACT: Fusion gene derived from genomic rearrangement plays a key role in cancer initiation. The discovery of novel gene fusions may be of significant importance in cancer diagnosis and treatment. Meanwhile, next generation sequencing technology provide a sensitive and efficient way to identify gene fusions in genomic levels. However, there are still many challenges and limitations remaining in the existing methods which only rely on unmapped reads or discordant alignment fragments. In this work we have developed GFusion, a novel method using RNA-Seq data, to identify the fusion genes. This pipeline performs multiple alignments and strict filtering algorithm to improve sensitivity and reduce the false positive rate. GFusion successfully detected 34 from 43 previously reported fusions in four canc

SUBMITTER: Zhao J 

PROVIDER: S-EPMC5537242 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature