Lynx: a database and knowledge extraction engine for integrative medicine

被引:32
|
作者
Sulakhe, Dinanath [1 ]
Balasubramanian, Sandhya [2 ]
Xie, Bingqing [2 ,3 ]
Feng, Bo [2 ,3 ]
Taylor, Andrew [2 ]
Wang, Sheng [4 ]
Berrocal, Eduardo [2 ,3 ]
Dave, Utpal [1 ]
Xu, Jinbo [4 ]
Boernigen, Daniela [2 ,4 ]
Gilliam, T. Conrad [1 ,2 ]
Maltsev, Natalia [1 ,2 ]
机构
[1] Univ Chicago, Computat Inst, Chicago, IL 60637 USA
[2] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[3] IIT, Dept Comp Sci, Chicago, IL 60616 USA
[4] Toyota Technol Inst Chicago, Chicago, IL 60637 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
GENE PRIORITIZATION; EXPRESSION; ASSOCIATION; SYSTEM;
D O I
10.1093/nar/gkt1166
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:D1007 / D1012
页数:6
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