Nam Seong-Hyeuk, Kim Dae-Won, Jung Tae-Sung, Choi Young-Sang, Kim Dong-Wook, Choi Han-Suk, Choi Sang-Haeng, Park Hong-Seog
Industrial Biotechnology & Bioenergy Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Bioinformatics. 2009 Jul 15;25(14):1846-8. doi: 10.1093/bioinformatics/btp293. Epub 2009 May 4.
We have developed a web server for the high-throughput annotation of expressed sequence tags (ESTs) called pipeline for EST analysis service (PESTAS). PESTAS processes entire datasets with an automated pipeline of 13 analytic services, then deposits the data into the MySQL database and transforms it into three kinds of reports: preprocessing, assembling and annotation. All annotated information is provided to the scientist and can be downloaded through a web browser. To get more relevant functional annotation results, a curation function was introduced with which biologists can easily change the best-hit annotation information. We included a gene chip module that detects gene expression differences between libraries by comparing accession number counts from BLAST search results. PESTAS also provides access to the pathway information of KEGG, which is useful for mapping the relationships among networks of annotated enzymes, and is especially valuable for those researchers interested in biological pathways.
PESTAS is available at http://pestas.kribb.re.kr/.
我们开发了一个用于高通量注释表达序列标签（EST）的网络服务器，称为EST分析服务管道（PESTAS）。PESTAS通过13种分析服务的自动化管道处理整个数据集，然后将数据存入MySQL数据库，并将其转换为三种报告：预处理、组装和注释。所有注释信息都提供给科学家，并且可以通过网络浏览器下载。为了获得更相关的功能注释结果，引入了一个管理功能，生物学家可以通过该功能轻松更改最佳匹配注释信息。我们纳入了一个基因芯片模块，该模块通过比较BLAST搜索结果中的登录号计数来检测文库之间的基因表达差异。PESTAS还提供对KEGG通路信息的访问，这对于绘制注释酶网络之间的关系很有用，对于那些对生物通路感兴趣的研究人员尤其有价值。
PESTAS可在http://pestas.kribb.re.kr/获取。
