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Lynx: a database and knowledge extraction engine for integrative medicine

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Lynx: a database and knowledge extraction engine for integrative medicine. / Sulakhe, Dinanath; Balasubramanian, Sandhya; Xie, Bingqing; Feng, Bo; Taylor, Andrew; Wang, Sheng; Berrocal, Eduardo; Dave, Utpal; Xu, Jinbo; Börnigen, Daniela; Gilliam, T Conrad; Maltsev, Natalia.

In: NUCLEIC ACIDS RES, Vol. 42, No. Database issue, 01.2014, p. D1007-12.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Sulakhe, D, Balasubramanian, S, Xie, B, Feng, B, Taylor, A, Wang, S, Berrocal, E, Dave, U, Xu, J, Börnigen, D, Gilliam, TC & Maltsev, N 2014, 'Lynx: a database and knowledge extraction engine for integrative medicine', NUCLEIC ACIDS RES, vol. 42, no. Database issue, pp. D1007-12. https://doi.org/10.1093/nar/gkt1166

APA

Sulakhe, D., Balasubramanian, S., Xie, B., Feng, B., Taylor, A., Wang, S., Berrocal, E., Dave, U., Xu, J., Börnigen, D., Gilliam, T. C., & Maltsev, N. (2014). Lynx: a database and knowledge extraction engine for integrative medicine. NUCLEIC ACIDS RES, 42(Database issue), D1007-12. https://doi.org/10.1093/nar/gkt1166

Vancouver

Sulakhe D, Balasubramanian S, Xie B, Feng B, Taylor A, Wang S et al. Lynx: a database and knowledge extraction engine for integrative medicine. NUCLEIC ACIDS RES. 2014 Jan;42(Database issue):D1007-12. https://doi.org/10.1093/nar/gkt1166

Bibtex

@article{29708feb1e9d465c9f6a04b50d9459d8,
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.",
keywords = "Autistic Disorder, Databases, Genetic, Disease, Genes, Genomics, Humans, Internet, Knowledge Bases, Phenotype, Search Engine, Seizures, Systems Integration, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't",
author = "Dinanath Sulakhe and Sandhya Balasubramanian and Bingqing Xie and Bo Feng and Andrew Taylor and Sheng Wang and Eduardo Berrocal and Utpal Dave and Jinbo Xu and Daniela B{\"o}rnigen and Gilliam, {T Conrad} and Natalia Maltsev",
year = "2014",
month = jan,
doi = "10.1093/nar/gkt1166",
language = "English",
volume = "42",
pages = "D1007--12",
journal = "NUCLEIC ACIDS RES",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "Database issue",

}

RIS

TY - JOUR

T1 - Lynx: a database and knowledge extraction engine for integrative medicine

AU - Sulakhe, Dinanath

AU - Balasubramanian, Sandhya

AU - Xie, Bingqing

AU - Feng, Bo

AU - Taylor, Andrew

AU - Wang, Sheng

AU - Berrocal, Eduardo

AU - Dave, Utpal

AU - Xu, Jinbo

AU - Börnigen, Daniela

AU - Gilliam, T Conrad

AU - Maltsev, Natalia

PY - 2014/1

Y1 - 2014/1

N2 - 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.

AB - 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.

KW - Autistic Disorder

KW - Databases, Genetic

KW - Disease

KW - Genes

KW - Genomics

KW - Humans

KW - Internet

KW - Knowledge Bases

KW - Phenotype

KW - Search Engine

KW - Seizures

KW - Systems Integration

KW - Journal Article

KW - Research Support, N.I.H., Extramural

KW - Research Support, Non-U.S. Gov't

U2 - 10.1093/nar/gkt1166

DO - 10.1093/nar/gkt1166

M3 - SCORING: Journal article

C2 - 24270788

VL - 42

SP - D1007-12

JO - NUCLEIC ACIDS RES

JF - NUCLEIC ACIDS RES

SN - 0305-1048

IS - Database issue

ER -