Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data-Reference-Cited by-同舟云学术

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

Published:2015-11-17 Issue:5 Volume:44 Page:e47-e47
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:Nucleic Acids Res

Author:

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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/44/5/e47/17437722/gkv1234.pdf

Reference57 articles.

1. Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer

2. Cytogenetic and Molecular Genetic Aspects of Chronic Myeloid Leukaemia

3. Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer

4. Implications of chimaeric non-co-linear transcripts

5. Mutation-associated fusion cancer genes in solid tumors

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