PESTAS: a web server for EST analysis and sequence mining.
CONCLUSIONS
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.


BACKGROUND
PESTAS is available at http://pestas.kribb.re.kr/.
Nam
Seong-Hyeuk
SH
Industrial Biotechnology & Bioenergy Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Kim
Dae-Won
DW
Jung
Tae-Sung
TS
Choi
Young-Sang
YS
Kim
Dong-Wook
DW
Choi
Han-Suk
HS
Choi
Sang-Haeng
SH
Park
Hong-Seog
HS
D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D030541:Databases, Genetic; D020224:Expressed Sequence Tags / Q000737:chemistry*; D020407:Internet; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D014584:User-Computer Interface