微型基序挖掘器第二版：一个用于基序搜索的数据库和网络系统。
Minimotif miner 2nd release: a database and web system for motif search.
作者信息
Rajasekaran Sanguthevar, Balla Sudha, Gradie Patrick, Gryk Michael R, Kadaveru Krishna, Kundeti Vamsi, Maciejewski Mark W, Mi Tian, Rubino Nicholas, Vyas Jay, Schiller Martin R
机构信息
Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06029-2155, USA.
出版信息
Nucleic Acids Res. 2009 Jan;37(Database issue):D185-90. doi: 10.1093/nar/gkn865. Epub 2008 Oct 31.
Minimotif Miner (MnM) consists of a minimotif database and a web-based application that enables prediction of motif-based functions in user-supplied protein queries. We have revised MnM by expanding the database more than 10-fold to approximately 5000 motifs and standardized the motif function definitions. The web-application user interface has been redeveloped with new features including improved navigation, screencast-driven help, support for alias names and expanded SNP analysis. A sample analysis of prion shows how MnM 2 can be used. Weblink: http://mnm.engr.uconn.edu, weblink for version 1 is http://sms.engr.uconn.edu.
最小基序挖掘器（MnM）由一个最小基序数据库和一个基于网络的应用程序组成，该应用程序能够预测用户提供的蛋白质查询中基于基序的功能。我们对MnM进行了修订，将数据库扩展了10倍以上，达到约5000个基序，并对基序功能定义进行了标准化。网络应用程序的用户界面已重新开发，具有新功能，包括改进的导航、屏幕录像驱动的帮助、对别名的支持以及扩展的单核苷酸多态性（SNP）分析。对朊病毒的样本分析展示了如何使用MnM 2。网址：http://mnm.engr.uconn.edu，版本1的网址是http://sms.engr.uconn.edu。
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