Gerontome: a web-based database server for aging-related genes and analysis pipelines

BMC Genomics

Proceedings

Haeyoung Chung¹  Byungwook Lee²  Jekeun Kwon³ 

[1] Interdisciplinary Research Program of Bioinformatics, Busan National University, 609-735, Busan, Korea;Aging Tissue Bank, College of Pharmacy, Busan National University, 609-735, Busan, Korea;Korean BioInformation Center (KOBIC), KRIBB, 305-806, Daejeon, Korea;Korean BioInformation Center (KOBIC), KRIBB, 305-806, Daejeon, Korea;Interdisciplinary Research Program of Bioinformatics, Busan National University, 609-735, Busan, Korea;

关键词: Gene Ontology;    Transcription Factor Binding Site;    Structural Term;    UCSC Genome Browser;    Analysis Pipeline;   

DOI  :  10.1186/1471-2164-11-S4-S20

来源: Springer

【 摘 要 】

BackgroundAging is a complex and challenging phenomenon that requires interdisciplinary efforts to unravel its mystery. Insight into genes relevant to the aging process would offer the chance to delay and avoid some of deteriorative aspects of aging through the use of preventive methods. To assist basic research on aging, a comprehensive database and analysis platform for aging-related genes is required.ResultsWe developed a web-based database server, called Gerontome that contains aging-related gene information and user-friendly analysis pipelines. To construct the Gerontome database, we integrated aging-related genes and their annotation data. The aging-related genes were categorized by a set of structural terms from Gene Ontology (GO). Analysis pipelines for promoter analysis and protein-ligand docking were developed. The promoter analysis pipeline allows users to investigate the age-dependent regulation of gene expression. The protein-ligand docking pipeline provides information on the position and orientation of a ligand in an age-related protein surface.ConclusionGerontome can be accessed through web interfaces for querying and browsing. The server provides comprehensive age-related gene information and analysis pipelines. Gerontome is available free at http://gerontome.kobic.re.kr.

【 授权许可】

Unknown   
© Kwon et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.