Title |
BreakTrans: uncovering the genomic architecture of gene fusions
|
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Published in |
Genome Biology, August 2013
|
DOI | 10.1186/gb-2013-14-8-r87 |
Pubmed ID | |
Authors |
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 |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 6% |
Brazil | 1 | 2% |
Unknown | 59 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 25% |
Researcher | 16 | 25% |
Professor | 6 | 9% |
Other | 4 | 6% |
Student > Bachelor | 3 | 5% |
Other | 13 | 20% |
Unknown | 6 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 42% |
Biochemistry, Genetics and Molecular Biology | 15 | 23% |
Computer Science | 5 | 8% |
Medicine and Dentistry | 3 | 5% |
Engineering | 2 | 3% |
Other | 5 | 8% |
Unknown | 7 | 11% |