Name
Abstract | ||
|---|---|---|
The EST Analysis Pipeline (ESTAP) is a set of analytical procedures that automatically verify, cleanse, store and analyze ESTs generated on high-throughput platforms. It uses a relational database to store sequence data and analysis results, which facilitates both the search for specific information and statistical analysis. ESTAP provides for easy viewing of the original and cleansed data, as well as the analysis results via a Web browser. It also allows the data owner to submit selected sequences to dbEST in a semi-automated fashion. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1093/bioinformatics/btg205 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Relational database,Web browser,Computer science,Specific-information,Data sequences,Database,Statistical analysis | Journal | 19 |
Issue | ISSN | Citations |
13.0 | 1367-4803 | 20 |
PageRank | References | Authors |
1.54 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| chunhong mao | 1 | 157 | 10.55 |
| John C Cushman | 2 | 20 | 1.54 |
| Gregory D. May | 3 | 93 | 6.04 |
| Jennifer W Weller | 4 | 96 | 7.57 |