BreakTrans: uncovering the genomic architecture of gene fusions

被引:0
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作者
Ken Chen
Nicholas E Navin
Yong Wang
Heather K Schmidt
John W Wallis
Beifang Niu
Xian Fan
Hao Zhao
Michael D McLellan
Katherine A Hoadley
Elaine R Mardis
Timothy J Ley
Charles M Perou
Richard K Wilson
Li Ding
机构
[1] The University of Texas MD Anderson Cancer Center,Department of Bioinformatics and Computational Biology
[2] Rice University,Department of Computer Science
[3] The University of Texas MD Anderson Cancer Center,Department of Genetics
[4] Washington University School of Medicine,The Genome Institute
[5] University of North Carolina School of Medicine,Department of Genetics
[6] Washington University School of Medicine,Department of Medicine
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关键词
Whole Genome Sequencing; Whole Genome Sequencing Data; Breakpoint Graph; Genomic Breakpoint; Detect Gene Fusion;
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摘要
Producing gene fusions through genomic structural rearrangements is a major mechanism for tumor evolution. Therefore, accurately detecting gene fusions and the originating rearrangements is of great importance for personalized cancer diagnosis and targeted therapy. We present a tool, BreakTrans, that systematically maps predicted gene fusions to structural rearrangements. Thus, BreakTrans not only validates both types of predictions, but also provides mechanistic interpretations. BreakTrans effectively validates known fusions and discovers novel events in a breast cancer cell line. Applying BreakTrans to 43 breast cancer samples in The Cancer Genome Atlas identifies 90 genomically validated gene fusions. BreakTrans is available at http://bioinformatics.mdanderson.org/main/BreakTrans
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