DAVID-WS: a stateful web service to facilitate gene/protein list analysis.

DAVID-WS: a stateful web service to facilitate gene/protein list analysis.
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DOI:
10.1093/bioinformatics/bts251
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发表时间:
2012-07-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
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通讯作者:
Lempicki RA
Lempicki RA
中科院分区:
其他
文献类型:
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作者:
Jiao X;Sherman BT;Huang da W;Stephens R;Baseler MW;Lane HC;Lempicki RA

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总结:注释、可视化和综合发现数据库(大卫)可在http://david.abcc.ncifcrf.gov/上免费访问,是一个基于网络的在线生物信息学资源,旨在为大量基因/蛋白质的功能解释提供工具。它已被来自全球5000多个研究机构的研究人员使用,每天提交来自1400名独特研究人员的1200份基因列表,并被6000多份科学出版物引用。然而,当前的web接口不支持对大卫的编程访问,并且基于统一资源定位符(URL)的应用编程接口(API)对URL大小有限制,并且本质上是无状态的,因为它使用URL请求和响应消息来与服务器通信,而不保留任何与状态相关的细节。DAVID-WS(Web服务)的开发是为了通过提供有状态的Web服务来自动化用户任务,从而以编程方式访问大卫,而无需人工交互。可用性:Web服务和示例客户端(用Java、Perl、Python和Matlab编写)在http://david.abcc.ncifcrf.gov/content.jsp?的大卫许可下免费提供file=WS.html.联系人:xiaoli. nih.gov; rlempicki@nih.gov
Summary: The database for annotation, visualization and integrated discovery (DAVID), which can be freely accessed at http://david.abcc.ncifcrf.gov/, is a web-based online bioinformatics resource that aims to provide tools for the functional interpretation of large lists of genes/proteins. It has been used by researchers from more than 5000 institutes worldwide, with a daily submission rate of ∼1200 gene lists from ∼400 unique researchers, and has been cited by more than 6000 scientific publications. However, the current web interface does not support programmatic access to DAVID, and the uniform resource locator (URL)-based application programming interface (API) has a limit on URL size and is stateless in nature as it uses URL request and response messages to communicate with the server, without keeping any state-related details. DAVID-WS (web service) has been developed to automate user tasks by providing stateful web services to access DAVID programmatically without the need for human interactions. Availability: The web service and sample clients (written in Java, Perl, Python and Matlab) are made freely available under the DAVID License at http://david.abcc.ncifcrf.gov/content.jsp?file=WS.html. Contact: xiaoli.jiao@nih.gov; rlempicki@nih.gov