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ChimerDB 3.0: an enhanced database for fusion genes from cancer transcriptome and literature data mining

Title
ChimerDB 3.0: an enhanced database for fusion genes from cancer transcriptome and literature data mining
Authors
Lee, MyunggyoLee, KyubumYu, NamheeJang, InsuChoi, IkjungKim, PoraJang, Ye EunKim, ByounggunKim, SunkyuLee, ByungwookKang, JaewooLee, Sanghyuk
Ewha Authors
이상혁
SCOPUS Author ID
이상혁scopus
Issue Date
2017
Journal Title
NUCLEIC ACIDS RESEARCH
ISSN
0305-1048JCR Link1362-4962JCR Link
Citation
vol. 45, no. D1, pp. D784 - D789
Publisher
OXFORD UNIV PRESS
Indexed
SCI; SCIE; SCOPUS WOS
Abstract
Fusion gene is an important class of therapeutic targets and prognostic markers in cancer. ChimerDB is a comprehensive database of fusion genes encompassing analysis of deep sequencing data and manual curations. In this update, the database coverage was enhanced considerably by adding two new modules of The Cancer Genome Atlas (TCGA) RNA-Seq analysis and PubMed abstract mining. ChimerDB 3.0 is composed of three modules of ChimerKB, ChimerPub and ChimerSeq. ChimerKB represents a knowledgebase including 1066 fusion genes with manual curation that were compiled from public resources of fusion genes with experimental evidences. ChimerPub includes 2767 fusion genes obtained from text mining of PubMed abstracts. ChimerSeq module is designed to archive the fusion candidates from deep sequencing data. Importantly, we have analyzed RNA-Seq data of the TCGA project covering 4569 patients in 23 cancer types using two reliable programs of FusionScan and TopHat-Fusion. The new user interface supports diverse search options and graphic representation of fusion gene structure. ChimerDB 3.0 is available at http://ercsb.ewha.ac.kr/fusiongene/.
DOI
10.1093/nar/gkw1083
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자연과학대학 > 생명과학전공 > Journal papers
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