| URL: | http://lynx.ci.uchicago.edu |
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| Description: | Lynx is a web-based database and a knowledge extraction engine. It supports annotation and analysis of high-throughput experimental data and generation of weighted hypotheses regarding genes and molecular mechanisms contributing to human phenotypes or conditions of interest. |
| Year founded: | 2014 |
| Last update: | 2015-08-10 |
| Version: | v2.5 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
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| University/Institution: | University of Chicago |
| Address: | 920 E. 58th Street, Chicago, IL 60637, USA |
| City: | Chicago |
| Province/State: | IL |
| Country/Region: | United States |
| Contact name (PI/Team): | Dinanath Sulakhe |
| Contact email (PI/Helpdesk): | sulakhe@uchicago.edu |
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Lynx: a knowledge base and an analytical workbench for integrative medicine. [PMID: 26590263]
Lynx (http://lynx.ci.uchicago.edu) is a web-based database and a knowledge extraction engine. It supports annotation and analysis of high-throughput experimental data and generation of weighted hypotheses regarding genes and molecular mechanisms contributing to human phenotypes or conditions of interest. Since the last release, the Lynx knowledge base (LynxKB) has been periodically updated with the latest versions of the existing databases and supplemented with additional information from public databases. These additions have enriched the data annotations provided by Lynx and improved the performance of Lynx analytical tools. Moreover, the Lynx analytical workbench has been supplemented with new tools for reconstruction of co-expression networks and feature-and-network-based prioritization of genetic factors and molecular mechanisms. These developments facilitate the extraction of meaningful knowledge from experimental data and LynxKB. The Service Oriented Architecture provides public access to LynxKB and its analytical tools via user-friendly web services and interfaces. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. |
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Lynx: a database and knowledge extraction engine for integrative medicine. [PMID: 24270788]
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. |