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

Background: 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 aberr...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797269/
https://www.ncbi.nlm.nih.gov/pubmed/26582927
http://dx.doi.org/10.1093/nar/gkv1234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4797269/
https://www.ncbi.nlm.nih.gov/pubmed/26582927
http://dx.doi.org/10.1093/nar/gkv1234

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