ChimerDB 3.0: an enhanced database for fusion genes from cancer transcriptome and literature data mining.
Myunggyo LeeNamhee YuInsu JangIkjung ChoiPora KimYe Eun JangByounggun KimSunkyu KimJaewoo KangPublished in: Nucleic acids research (2016)
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/.
Keyphrases
- rna seq
- single cell
- genome wide
- papillary thyroid
- genome wide identification
- electronic health record
- squamous cell
- end stage renal disease
- big data
- systematic review
- healthcare
- public health
- mental health
- chronic kidney disease
- gene expression
- emergency department
- bioinformatics analysis
- ejection fraction
- copy number
- squamous cell carcinoma
- quality improvement
- young adults
- peritoneal dialysis
- patient reported outcomes