Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

Abstract Background Accurate fusion transcript detection is essential for comprehensive characterization of cancer transcriptomes. Over the last decade, multiple bioinformatic tools have been developed to predict fusions from RNA-seq, based on either read mapping or de novo fusion transcript assembl...

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Bibliographic Details
Main Authors: Brian J. Haas, Alexander Dobin, Bo Li, Nicolas Stransky, Nathalie Pochet, Aviv Regev
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Genome Biology
Subjects:
Fusion
RNA-seq
Cancer
Benchmarking
STAR-Fusion
TrinityFusion
Online Access:http://link.springer.com/article/10.1186/s13059-019-1842-9

Internet

http://link.springer.com/article/10.1186/s13059-019-1842-9

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