Title
Lynx: a database and knowledge extraction engine for integrative medicine.
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.
Year
DOI
Venue
2014
10.1093/nar/gkt1166
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
genomics,genes,phenotype,internet,systems integration,search engine
Integrative medicine,Annotation,Experimental data,Biology,Knowledge extraction,Knowledge base,Web service,Database,The Internet,System integration
Journal
Volume
Issue
ISSN
42
D1
0305-1048
Citations 
PageRank 
References 
6
0.52
22
Authors
12
Name
Order
Citations
PageRank
Dinanath Sulakhe118318.55
Sandhya Balasubramanian2101.91
Bingqing Xie3233.23
Bo Feng470.86
Andrew Taylor560.52
Sheng Wang626528.52
Eduardo Berrocal760.52
Utpal Dave870.87
Xu, Jinbo988866.00
Daniela Börnigen10101.91
T Conrad Gilliam11252.62
N Maltsev1223958.35