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Updated: Mar 28, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
FuMa: reporting overlap in RNA-seq detected fusion genes
Youri Hoogstrate1, René Böttcher2, Saskia Hiltemann1
1Department of Urology and Department of Bioinformatics, Erasmus University Medical Center, Rotterdam, 3000 CA, The Netherlands.
Unlabelled:
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/ErasmusMC-Bioinformatics/fuma and available for Galaxy in the tool sheds and directly accessible at https://bioinf-galaxian.erasmusmc.nl/galaxy/
Contact:
y.hoogstrate@erasmusmc.nl or a.stubbs@erasmusmc.nl
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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