Next generation software for functional trend analysis
| Autor: | Can Cenik, Frederick P. Roth, John E. Beaver, Murat Tasan, Gabriel F. Berriz |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Statistics and Probability
Databases Factual Computer science business.industry Interface (Java) Computational Biology Proteins Subject (documents) computer.software_genre Biochemistry Computer Science Applications World Wide Web Applications Note User-Computer Interface Computational Mathematics Trend analysis Software Computational Theory and Mathematics Feature (machine learning) Data mining business Molecular Biology computer Gene |
| Zdroj: | Bioinformatics. 25:3043-3044 |
| ISSN: | 1367-4811 1367-4803 |
| DOI: | 10.1093/bioinformatics/btp498 |
| Popis: | Summary: FuncAssociate is a web application that discovers properties enriched in lists of genes or proteins that emerge from large-scale experimentation. Here we describe an updated application with a new interface and several new features. For example, enrichment analysis can now be performed within multiple gene- and protein-naming systems. This feature avoids potentially serious translation artifacts to which other enrichment analysis strategies are subject. Availability: The FuncAssociate web application is freely available to all users at http://llama.med.harvard.edu/funcassociate. Contact: fritz_roth@hms.harvard.edu |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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