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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27790

Title: Efficient algorithms for identifying orthologous simple sequence repeats of disease genes
Authors: Chien-Ming Chen;Chih-Chia Chen;Tsan-Huang Shih;Tun-Wen Pai;Chin-Hua Hu;Wen-Shyong Tzou
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: Comparative genomics;genetic diseases;HomoloGene;microsatellites;Online Mendelian Inheritance in Man (OMIM);short tandem repeat;simple sequence repeat (SSR)
Date: 2010-10-01
Issue Date: 2011-10-21T02:34:01Z
Publisher: Journal of Systems Science and Complexity
Abstract: Abstract:Dynamic mutations of simple sequence repeats (SSRs) have been demonstrated to a?ect normal gene function and cause di?erent genetic disorders. Several conserved and even partial functional SSR patterns were discovered in inherited orthologous disease genes. To explore a wide range of SSRs in genetic diseases, a comprehensive system focusing on identifying orthologous SSRs of disease genes through a comparative genomics mechanism was constructed and accomplished by adopting online Mendelian inheritance in man (OMIM) and NCBI HomoloGene databases as the fundamental resources of human genetic diseases and homologous gene information. In addition, an e?cient and e?ective algorithm for searching SSR patterns was also developed for providing annotated SSR information among various model species. By integrating these data resources and mining technologies, biologists and doctors can systematically retrieve novel and important conserved SSR information among orthologous disease genes. The proposed system, Orthologous SSR for Disease Genes (OSDG), is the ?rst comprehensive framework for identifying orthologous SSRs as potential causative factors of genetic disorders and is freely available at http://osdg.cs.ntou.edu.tw/.
Relation: 23(5), pp.906-916
URI: http://ntour.ntou.edu.tw/handle/987654321/27790
Appears in Collections:[資訊工程學系] 期刊論文

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