ChimerDB 2.0 A knowledgebase for fusion genes updated

Pora Kim, Suhyeon Yoon, Namshin Kim, Sanghyun Lee, Minjeong Ko, Haeseung Lee, Hyunjung Kang, Jaesang Kim, Sanghyuk Lee

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

Chromosome translocations and gene fusions are frequent events in the human genome and have been found to cause diverse types of tumor. ChimerDB is a knowledgebase of fusion genes identified from bioinformatics analysis of transcript sequences in the GenBank and various other public resources such as the Sanger cancer genome project (CGP), OMIM, PubMed and the Mitelman's database. In this updated version, we significantly modified the algorithm of identifying fusion transcripts. Specifically, the new algorithm is more sensitive and has detected 2699 fusion transcripts with high confidence. Furthermore, it can identify interchromosomal translocations as well as the intrachromosomal deletions or inversions of large DNA segments. Importantly, results from the analysis of next-generation sequencing data in the short read archives are incorporated as well. We updated and integrated all contents (GenBank, Sanger CGP, OMIM, PubMed publications and the Mitelman's database), and the user-interface has been improved to support diverse types of searches and to enhance the user convenience especially in browsing PubMed articles. We also developed a new alignment viewer that should facilitate examining reliability of fusion transcripts and inferring functional significance. We expect ChimerDB 2.0, available at http://ercsb.ewha.ac.kr/fusiongene, to be a valuable tool in identifying biomarkers and drug targets.

Original languageEnglish
Article numbergkp982
Pages (from-to)D81-D85
JournalNucleic Acids Research
Volume38
Issue numberSUPPL.1
DOIs
StatePublished - 10 Nov 2009

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