Fusion genes are chimeric results originated from previous separate genes with aberrant functions. The resulting protein products may lead to abnormal status of expression levels, functions and action sites, which in return may cause the abnormal proliferation of cells and cancer development.
A database which provides detailed information regarding the exploration of a specific hybrid gene of interest. HYBRIDdb encompasses the bioinformatics analysis of mRNA, EST, cDNA and can be used to identify hybrid transcripts created by chromosomal-mediated translocation and intergenic splicing-mediated gene fusion. The HYBRIDdb database provide genome scientists with insight into potential roles for hybrid genes in human evolution and disease.
Relates chromosomal aberrations to tumor characteristics, based either on individual cases or associations. Mitelman Database provides data manually chosen from the literature. It contains more than 68 000 cases and over 11 000 gene fusions. This database in sub-divided into three parts supplying: data that relates chromosomal aberrations to specific tumor characteristics in individual patient cases; molecular biology and clinical associations; and references.
A database of functional and regulatory elements of cancer-associated fusion events. FARE-CAFE is a database with the combination of the cancer related chromosomal translation events, fusion genes, domains, domain-domain interactions (DDI), protein-protein interactions (PPI), transcription factors(TF) and miRNAs collectively with the consequent experimental information. The significance of this database is currently, there is no database endow with fusion proteins role in terms of PPI and DDI in oncogenesis. This database provides detailed information about cancer related fusion genes regulatory (TFs and their target miRNA) and functional elements (domains, DDIs, PPIs). FARE-CAFE database will helpful to demonstrate clear understanding on molecular mechanism of cancer progression and ultimately pilot to the expansion of novel therapeutic approaches.
Enables to explore the impact of somatic mutations in human cancer. COSMIC is a database system that collects these somatic mutation data from a variety of public sources into one standardized repository, and make it easily explorable in a variety of graphical, tabulated and downloadable ways. The database encompasses all forms of human cancer. COSMIC is built primarily via curation of published literature by expert scientists. The database is also available for download in multiple formats.
A database that describes the genomic location of 1,374 translocation breakpoints in human tumors, corresponding to 431 different genes. TICdb is highly curated and all breakpoints are located to specific introns or exons of Ensembl transcripts, many of them at a nucleotide-scale level of resolution. For every fusion, TICdb will return the HGNC name of both partner genes and the original reference, as well as the fusion sequence.
Provides a collection of fusion genes compiled from a total of 24 datasets. FusionDatabase includes 10 publicly available databases and 14 datasets from the literature. It contains more than 150 000 unique fusion events, involving about 25 000 genes, of which over 4 200 act as head-only genes, 5 300 act as tail-only gene while rest 16 000 genes can act as head gene in some fusion and tail in other fusion events.
Offers fusion genes encompassing analysis of deep sequencing data and manual curations. ChimerDB is composed of three modules: 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. RNA-Seq data of The Cancer Genome Atlas (TCGA) project covering 4569 patients in 23 cancer types were analysed using two reliable programs of FusionScan and TopHat-Fusion. The user interface supports diverse search options and graphic representation of fusion gene structure.