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Lynx: a database and knowledge extraction engine for integrative medicine.

Authors :
Sulakhe D
Balasubramanian S
Xie B
Feng B
Taylor A
Wang S
Berrocal E
Dave U
Xu J
Börnigen D
Gilliam TC
Maltsev N
Source :
Nucleic acids research [Nucleic Acids Res] 2014 Jan; Vol. 42 (Database issue), pp. D1007-12. Date of Electronic Publication: 2013 Nov 21.
Publication Year :
2014

Abstract

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.

Details

Language :
English
ISSN :
1362-4962
Volume :
42
Issue :
Database issue
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
24270788
Full Text :
https://doi.org/10.1093/nar/gkt1166