ChimerDB 3.0: an enhanced database for fusion genes from cancer transcriptome and literature data mining.
Nucleic Acids Res
; 45(D1): D784-D789, 2017 01 04.
Article
em En
| MEDLINE
| ID: mdl-27899563
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/.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Proteínas de Fusão Oncogênica
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Bases de Dados Genéticas
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Mineração de Dados
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Transcriptoma
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Neoplasias
Tipo de estudo:
Guideline
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Systematic_reviews
Limite:
Humans
Idioma:
En
Revista:
Nucleic Acids Res
Ano de publicação:
2017
Tipo de documento:
Article