title: FARE-CAFE: a database of functional and regulatory elements of cancer-associated fusion events.
abstract: Chromosomal translocation (CT) is of enormous clinical interest because this disorder is associated with various major solid tumors and leukemia. A tumor-specific fusion gene event may occur when a translocation joins two separate genes. Currently, various CT databases provide information about fusion genes and their genomic elements. However, no database of the roles of fusion genes, in terms of essential functional and regulatory elements in oncogenesis, is available. FARE-CAFE is a unique combination of CTs, fusion proteins, protein domains, domain-domain interactions, protein-protein interactions, transcription factors and microRNAs, with subsequent experimental information, which cannot be found in any other CT database. Genomic DNA information including, for example, manually collected exact locations of the first and second break points, sequences and karyotypes of fusion genes are included. FARE-CAFE will substantially facilitate the cancer biologist's mission of elucidating the pathogenesis of various types of cancer. This database will ultimately help to develop 'novel' therapeutic approaches. Database URL: http://ppi.bioinfo.asia.edu.tw/FARE-CAFE.
authors.affiliation: Department of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan.
authors.forename: Praveen Kumar
authors.initials: PK
authors.lastname: Korla
authors.affiliation: Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung 40402, Taiwan.
authors.forename: Jack
authors.initials: J
authors.lastname: Cheng
authors.affiliation: Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan.
authors.forename: Chien-Hung
authors.initials: CH
authors.lastname: Huang
authors.affiliation: Department of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan.
authors.forename: Jeffrey J P
authors.initials: JJ
authors.lastname: Tsai
authors.affiliation: Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan.
authors.forename: Yu-Hsuan
authors.initials: YH
authors.lastname: Liu
authors.affiliation: School of Information Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand.
authors.forename: Nilubon
authors.initials: N
authors.lastname: Kurubanjerdjit
authors.affiliation: Department of Pharmacology, China Medical University, Taichung 40402, Taiwan.
authors.forename: Wen-Tsong
authors.initials: WT
authors.lastname: Hsieh
authors.affiliation: Department of Obstetrics and Gynecology, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan, and.
authors.forename: Huey-Yi
authors.initials: HY
authors.lastname: Chen
authors.affiliation: Department of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan ppiddi@gmail.com.
authors.forename: Ka-Lok
authors.initials: KL
authors.lastname: Ng
mesh_terms: D000818:Animals; D004273:DNA, Neoplasm / Q000235:genetics / Q000378:metabolism; D030541:Databases, Genetic; D006801:Humans; D009363:Neoplasm Proteins / Q000235:genetics / Q000378:metabolism; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism; D020218:Response Elements
chemical_list: D004273:DNA, Neoplasm; D009363:Neoplasm Proteins