Name
Abstract | ||
|---|---|---|
Computational gene function prediction can serve to focus experimental resources on high-priority experimental tasks. FuncBase is a web resource for viewing quantitative machine learning-based gene function annotations. Quantitative annotations of genes, including fungal and mammalian genes, with Gene Ontology terms are accompanied by a community feedback system. Evidence underlying function annotations is shown. For example, a custom Cytoscape viewer shows functional linkage graphs relevant to the gene or function of interest. FuncBase provides links to external resources, and may be accessed directly or via links from species-specific databases. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1093/bioinformatics/btq265 | BIOINFORMATICS |
Field | DocType | Volume |
Web resource,Graph,Data mining,Gene,Annotation,Computational gene,Gene ontology,Computer science,Software,Bioinformatics,The Internet | Journal | 26 |
Issue | ISSN | Citations |
14 | 1367-4803 | 3 |
PageRank | References | Authors |
0.49 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John E Beaver | 1 | 52 | 3.83 |
| M. Tasan | 2 | 85 | 6.44 |
| Francis D Gibbons | 3 | 3 | 0.49 |
| Weidong Tian | 4 | 10 | 3.45 |
| Timothy R Hughes | 5 | 247 | 42.16 |
| Frederick P Roth | 6 | 345 | 34.18 |