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FuMa: reporting overlap in RNA-seq detected fusion genes.

Authors :
Hoogstrate, Youri
Böttcher, René
Hiltemann, Saskia
van der Spek, Peter J.
Jenster, Guido
Stubbs, Andrew P.
Source :
Bioinformatics. 4/15/2016, Vol. 32 Issue 8, p1226-1228. 3p.
Publication Year :
2016

Abstract

Summary: A new generation of tools that identify fusion genes in RNA-seq data is limited in either sensitivity and or specificity. To allow further downstream analysis and to estimate performance, predicted fusion genes from different tools have to be compared. However, the transcriptomic context complicates genomic location-based matching. FusionMatcher (FuMa) is a program that reports identical fusion genes based on gene-name annotations. FuMa automatically compares and summarizes all combinations of two or more datasets in a single run, without additional programming necessary. FuMa uses one gene annotation, avoiding mismatches caused by tool-specific gene annotations. FuMa matches 10% more fusion genes compared with exact gene matching due to overlapping genes and accepts intermediate output files that allow a stepwise analysis of corresponding tools. Availability and implementation: The code is available at: https://github.com/ErasmusMCBioinformatics/ fuma and available for Galaxy in the tool sheds and directly accessible at https://bioinf-galaxian.erasmusmc.nl/galaxy/ [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
32
Issue :
8
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
114448090
Full Text :
https://doi.org/10.1093/bioinformatics/btv721