Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1093/bioinformatics/btp293 | BIOINFORMATICS |
Keywords | Field | DocType |
sequence mining | Data mining,World Wide Web,Annotation,Expressed sequence tag,Web browser,Computer science,KEGG,Preprocessor,Bioinformatics,Sequential Pattern Mining,Web server | Journal |
Volume | Issue | ISSN |
25 | 14 | 1367-4803 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seong-Hyeuk Nam | 1 | 0 | 0.68 |
| Dae-Won Kim | 2 | 0 | 0.34 |
| Tae-Sung Jung | 3 | 58 | 18.80 |
| Youngsang Choi | 4 | 7 | 1.86 |
| Dong Wook Kim | 5 | 76 | 22.66 |
| Han-Suk Choi | 6 | 0 | 1.69 |
| Sang-Haeng Choi | 7 | 0 | 0.68 |
| Hong-seog Park | 8 | 0 | 1.35 |