4.8 Article

Lynx: a database and knowledge extraction engine for integrative medicine

Journal

NUCLEIC ACIDS RESEARCH
Volume 42, Issue D1, Pages D1007-D1012

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkt1166

Keywords

-

Funding

  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

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available