FuncBase : a resource for quantitative gene function annotation
| Autor: | Timothy P. Hughes, Francis D. Gibbons, Murat Tasan, Frederick P. Roth, Weidong Tian, John E. Beaver |
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| Rok vydání: | 2010 |
| Předmět: |
Statistics and Probability
Databases Factual Computer science media_common.quotation_subject Databases and Ontologies Computational biology computer.software_genre Biochemistry Annotation Resource (project management) Function (engineering) Molecular Biology Gene media_common Internet Computational Biology Computational gene Computer Science Applications Applications Note Computational Mathematics Genes Vocabulary Controlled Computational Theory and Mathematics Quantitative analysis (finance) Data mining computer Software |
| Zdroj: | Bioinformatics |
| ISSN: | 1367-4811 1367-4803 |
| DOI: | 10.1093/bioinformatics/btq265 |
| Popis: | Summary: 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. Availability: FuncBase as well as all underlying data and annotations are freely available via http://func.med.harvard.edu/ Contact: fritz_roth@hms.harvard.edu |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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