Dinh Hieu, Rajasekaran Sanguthevar
Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut, United States of America.
PLoS One. 2013 Dec 4;8(12):e80660. doi: 10.1371/journal.pone.0080660. eCollection 2013.
Identification of DNA/Protein motifs is a crucial problem for biologists. Computational techniques could be of great help in this identification. In this direction, many computational models for motifs have been proposed in the literature.
One such important model is the (l,d) motif model. In this paper we describe a motif search web tool that predominantly employs this motif model. This web tool exploits the state-of-the art algorithms for solving the (l,d) motif search problem.
The online tool has been helping scientists identify many unknown motifs. Many of our predictions have been successfully verified as well. We hope that this paper will expose this crucial tool to many more scientists.
Project name: PMS--Panoptic Motif Search Tool. Project home page: http://pms.engr.uconn.edu or http://motifsearch.com. Licence: PMS tools will be readily available to any scientist wishing to use it for non-commercial purposes, without restrictions. The online tool is freely available without login.
DNA/蛋白质基序的识别是生物学家面临的关键问题。计算技术在这种识别中可能会有很大帮助。在这个方向上，文献中已经提出了许多用于基序的计算模型。
一种这样重要的模型是（l，d）基序模型。在本文中，我们描述了一个主要采用这种基序模型的基序搜索网络工具。这个网络工具利用了用于解决（l，d）基序搜索问题的最先进算法。
这个在线工具一直在帮助科学家识别许多未知基序。我们的许多预测也已成功得到验证。我们希望本文能让更多科学家了解这个关键工具。
项目名称：PMS——全景基序搜索工具。项目主页：http://pms.engr.uconn.edu 或 http://motifsearch.com。许可：任何希望将其用于非商业目的的科学家都可以无限制地轻松使用PMS工具。在线工具无需登录即可免费使用。
