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Lynx: a database and knowledge extraction engine for integrative medicine

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 underlyin...

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Detalles Bibliográficos
Autores principales: Sulakhe, Dinanath, Balasubramanian, Sandhya, Xie, Bingqing, Feng, Bo, Taylor, Andrew, Wang, Sheng, Berrocal, Eduardo, Dave, Utpal, Xu, Jinbo, Börnigen, Daniela, Gilliam, T. Conrad, Maltsev, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965040/
https://www.ncbi.nlm.nih.gov/pubmed/24270788
http://dx.doi.org/10.1093/nar/gkt1166
Descripción
Sumario: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.