SlimSearch:一个结合序列上下文的网络服务器,用于在蛋白质中发现新的短线性基序SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context |
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课程网址: | http://videolectures.net/prib2010_edwards_swfn/ |
主讲教师: | Richard J. Edwards |
开课单位: | 南安普敦大学 |
开课时间: | 2010-10-14 |
课程语种: | 英语 |
中文简介: | 短线性图案(SLiM)在许多生物过程中起着关键作用。 SLiMSearch(简短,线性Motif搜索)网络服务器是一个灵活的工具,使研究人员能够识别蛋白质组中预先定义的SLiM的新发生。许多掩蔽选项使用户可以很好地控制分析中包含的上下文信息,包括进化过滤和蛋白质结构紊乱。用户友好的输出和主题上下文的可视化允许用户快速了解假定功能主题发生的有效性。用户可以针对人类蛋白质组搜索基序,或者提交他们自己的UniProt蛋白质数据集,在这种情况下,数据集中的基序支持在统计上被评估为过高和过低的表示,从而解释输入蛋白质之间的进化关系。 SLiMSearch可作为开源Python模块免费提供,所有Web服务器结果均可供下载。 |
课程简介: | Short, linear motifs (SLiMs) play a critical role in many biological processes. The SLiMSearch (Short, Linear Motif Search) webserver is a flexible tool that enables researchers to identify novel occurrences of pre-defined SLiMs in sets of proteins. Numerous masking options give the user great control over the contextual information to be included in the analyses, including evolutionary filtering and protein structural disorder. User-friendly output and visualizations of motif context allow the user to quickly gain insight into the validity of a putatively functional motif occurrence. Users can search motifs against the human proteome, or submit their own datasets of UniProt proteins, in which case motif support within the dataset is statistically assessed for over- and under-representation, accounting for evolutionary relationships between input proteins. SLiMSearch is freely available as open source Python modules and all webserver results are available for download. |
关 键 词: | 短线性图案; 蛋白质组; 进化过滤 |
课程来源: | 视频讲座网 |
最后编审: | 2021-12-21:liyy |
阅读次数: | 83 |