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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27843

Title: Identifying Significant Associations of Orthologous Simple Sequence Repeats with Gene Ontologies
Authors: Chien-Ming Chen;Chia-Sheng Chuang;Zhen-Li Huang;Tun-Wen Pai;Wen-Shyong Tzou;Chin-Hua Hu
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: Gene Ontology;Simple Sequence Repeat;Homologous Gene;Comparative Genomics
Date: 2011
Issue Date: 2011-10-21T02:34:12Z
Publisher: International Journal of Data Mining and Bioinformatics
Abstract: Abstract:Simple sequence repeats (SSRs), or microsatellites, regulate gene functions. SSR mutations in a disease gene may cause various genetic disorders. To identify putative functional SSRs, a Web-based system, Gene Ontology SSR Hierarchy (GOSH), was developed to facilitate discovery of significant associations between SSRs and Gene Ontology (GO) terms. Using the GO hierarchy term structure, GOSH assists users with selecting functional or biological gene subsets. Significant SSR patterns are retrieved and identified via comprehensive overrepresentation analysis within a target gene subset and by comparing results with orthologous genes. Pattern relationships between different biological subsets or supersets can be observed by using the GO hierarchy structure directly. GOSH also supports GO searching through identified significant SSR patterns, and all GO terms possessing such patterns are listed for consultation. GOSH is the first comprehensive and efficient online mining tool for discovering significant orthologous SSR patterns in GO terms and is available at http://gosh.cs.ntou.edu.tw/.
URI: http://ntour.ntou.edu.tw/handle/987654321/27843
Appears in Collections:[資訊工程學系] 期刊論文

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