Demo Data from EDBT 2026 / reviewers in the wild / expert
Tanwir Habib
dblp:55/997
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0002-2301-2704ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › knowledge representation in biology › biomedical ontology
gene ontology |
0.1 | 1 | 2008 | GOfetcher: a database with complex searching facility for gene ontology · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
database search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | GOfetcher: a database with complex searching facility for gene ontologyabstractMOTIVATION: An important contribution to the Gene Ontology (GO) project is to develop tools that facilitate the creation, maintenance and use of ontologies. Several tools have been created for communicating and using the GO project. However, a limitation with most of these tools is that they suffer from lack of a comprehensive search facility. We developed a web application, GOfetcher, with a very comprehensive search facility for the GO project and a variety of output formats for the results. GOfetcher has three different levels for searching the GO: 'Quick Search', 'Advanced Search' and 'Upload Files' for searching. The application includes a unique search option which generates gene information given a nucleotide or protein accession number which can then be used in generating GO information. The output data in GOfetcher can be saved into several different formats; including spreadsheet, comma-separated values and the extensible markup language (XML) format. The database is available at http://mcbc.usm.edu/gofetcher/. Mehdi Pirooznia, Tanwir Habib, Edward J. Perkins, Youping Deng |
Bioinform. | 2 |