4.8 Article

Lynx: a database and knowledge extraction engine for integrative medicine

期刊

NUCLEIC ACIDS RESEARCH
卷 42, 期 D1, 页码 D1007-D1012

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkt1166

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资金

  1. Boler Family Foundation
  2. National Institutes of Health/National Institute of Neurological Disorders and Stroke [NS050375]
  3. Genetic Basis of Mid-Hindbrain Malformations
  4. Direct For Biological Sciences
  5. Div Of Biological Infrastructure [1262603] Funding Source: National Science Foundation

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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.

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