Lynx: a database and knowledge extraction engine for integrative medicine
| Autor: | Andrew Taylor, Eduardo Berrocal, T. Conrad Gilliam, Sandhya Balasubramanian, Dinanath Sulakhe, Bingqing Xie, Jinbo Xu, Natalia Maltsev, Utpal J. Dave, Daniela Börnigen, Sheng Wang, Bo Feng |
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| Rok vydání: | 2013 |
| Předmět: |
Knowledge Bases
Biology computer.software_genre 03 medical and health sciences Annotation 0302 clinical medicine Knowledge extraction Seizures Databases Genetic Genetics Humans Disease Autistic Disorder 030304 developmental biology Internet 0303 health sciences Database business.industry Experimental data Genomics 3. Good health Variety (cybernetics) Search Engine Systems Integration VI. Genomic variation diseases and drugs Phenotype Genes Knowledge base The Internet Integrative medicine Web service business computer 030217 neurology & neurosurgery |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| DOI: | 10.1093/nar/gkt1166 |
| Popis: | We have developed Lynx (http://lynx.ci.uchicago.edu)—a web-based database and a knowledge extraction engine, supporting annotation and analysis of experimental data and generation of weighted hypotheses on molecular mechanisms contributing to human phenotypes and disorders of interest. Its underlying knowledge base (LynxKB) integrates various classes of information from >35 public databases and private collections, as well as manually curated data from our group and collaborators. Lynx provides advanced search capabilities and a variety of algorithms for enrichment analysis and network-based gene prioritization to assist the user in extracting meaningful knowledge from LynxKB and experimental data, whereas its service-oriented architecture provides public access to LynxKB and its analytical tools via user-friendly web services and interfaces. |
| Databáze: | OpenAIRE |
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