Comparative Analysis of Regulatory Motif Discovery Tools for Transcription Factor Binding Sites

作     者：Wei Wei Xiao-Dan Yu 

作者机构：Department of Pathobiology Center of Computational Biology Institute of Basic Medical Sciences Beijing100850 China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2007年第5卷第2期

页      面：131-142页

核心收录：

学科分类：07[理学] 08[工学] 09[农学] 071007[理学-遗传学] 090102[农学-作物遗传育种] 0710[理学-生物学] 1001[医学-基础医学(可授医学、理学学位)] 0714[理学-统计学（可授理学、经济学学位）] 0703[理学-化学] 0901[农学-作物学] 0836[工学-生物工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：motif TFBS non-coding DNA sequence computational algorithm motif discovery tool 

摘      要：In the post-genomic era, identification of specific regulatory motifs or transcription factor binding sites （TFBSs） in non-coding DNA sequences, which is essential to elucidate transcriptional regulatory networks, has emerged as an obstacle that frustrates many researchers. Consequently, numerous motif discovery tools and correlated databases have been applied to solving this problem. However, these existing methods, based on different computational algorithms, show diverse motif prediction efficiency in non-coding DNA sequences. Therefore, understanding the similarities and differences of computational algorithms and enriching the motif discovery literatures are important for users to choose the most appropriate one among the online available tools. Moreover, there still lacks credible criterion to assess motif discovery tools and instructions for researchers to choose the best according to their own projects. Thus integration of the related resources might be a good approach to improve accuracy of the application. Recent studies integrate regulatory motif discovery tools with experimental methods to offer a complementary approach for researchers, and also provide a much-needed model for current researches on transcriptional regulatory networks. Here we present a comparative analysis of regulatory motif discovery tools for TFBSs.