一套
生物
计算生物学
编码
Web服务器
源代码
跑
计算机科学
万维网
互联网
基因
程序设计语言
遗传学
细胞生物学
历史
考古
作者
Timothy L. Bailey,James Johnson,Charles E. Grant,William Stafford Noble
摘要
The MEME Suite is a powerful, integrated set of web-based tools for studying sequence motifs in proteins, DNA and RNA. Such motifs encode many biological functions, and their detection and characterization is important in the study of molecular interactions in the cell, including the regulation of gene expression. Since the previous description of the MEME Suite in the 2009 Nucleic Acids Research Web Server Issue, we have added six new tools. Here we describe the capabilities of all the tools within the suite, give advice on their best use and provide several case studies to illustrate how to combine the results of various MEME Suite tools for successful motif-based analyses. The MEME Suite is freely available for academic use at http://meme-suite.org, and source code is also available for download and local installation.
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