Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data

• Published in: Nucleic acids research Vol. 44; no. 5; p. e47
• Main Authors: Liu, Silvia, Tsai, Wei-Hsiang, Ding, Ying, Chen, Rui, Fang, Zhou, Huo, Zhiguang, Kim, SungHwan, Ma, Tianzhou, Chang, Ting-Yu, Priedigkeit, Nolan Michael, Lee, Adrian V, Luo, Jianhua, Wang, Hsei-Wei, Chung, I-Fang, Tseng, George C
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 18.03.2016
• Subjects: Algorithms; Alternative Splicing; Gene Expression Profiling; Gene Fusion; Humans; Methods Online; Mutant Chimeric Proteins - genetics; Neoplasms - genetics; Oncogene Proteins, Fusion - genetics; RNA, Messenger - genetics; Sequence Analysis, RNA; Software

Fusion transcripts are formed by either fusion genes (DNA level) or trans-splicing events (RNA level). They have been recognized as a promising tool for diagnosing, subtyping and treating cancers. RNA-seq has become a precise and efficient standard for genome-wide screening of such aberration events...