DESTAF: A database of text-mined associations for reproductive toxins potentially affecting human fertility

Handle URI:
http://hdl.handle.net/10754/562048
Title:
DESTAF: A database of text-mined associations for reproductive toxins potentially affecting human fertility
Authors:
Dawe, Adam Sean; Radovanovic, Aleksandar; Kaur, Mandeep; Sagar, Sunil; Seshadri, Sundararajan Vijayaraghava; Schaefer, Ulf; Kamau, Allan; Christoffels, Alan G.; Bajic, Vladimir B. ( 0000-0001-5435-4750 )
Abstract:
The Dragon Exploration System for Toxicants and Fertility (DESTAF) is a publicly available resource which enables researchers to efficiently explore both known and potentially novel information and associations in the field of reproductive toxicology. To create DESTAF we used data from the literature (including over 10. 500 PubMed abstracts), several publicly available biomedical repositories, and specialized, curated dictionaries. DESTAF has an interface designed to facilitate rapid assessment of the key associations between relevant concepts, allowing for a more in-depth exploration of information based on different gene/protein-, enzyme/metabolite-, toxin/chemical-, disease- or anatomically centric perspectives. As a special feature, DESTAF allows for the creation and initial testing of potentially new association hypotheses that suggest links between biological entities identified through the database.DESTAF, along with a PDF manual, can be found at http://cbrc.kaust.edu.sa/destaf. It is free to academic and non-commercial users and will be updated quarterly. © 2011 Elsevier Inc.
KAUST Department:
Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program
Publisher:
Elsevier BV
Journal:
Reproductive Toxicology
Issue Date:
Jan-2012
DOI:
10.1016/j.reprotox.2011.12.007
PubMed ID:
22198179
Type:
Article
ISSN:
08906238
Sponsors:
SVS and AC have been supported by the South African Department of Science and Technology/National Research Foundation (DST/NRF) Research Chair in Bioinformatics and Human Health.
Appears in Collections:
Articles; Applied Mathematics and Computational Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDawe, Adam Seanen
dc.contributor.authorRadovanovic, Aleksandaren
dc.contributor.authorKaur, Mandeepen
dc.contributor.authorSagar, Sunilen
dc.contributor.authorSeshadri, Sundararajan Vijayaraghavaen
dc.contributor.authorSchaefer, Ulfen
dc.contributor.authorKamau, Allanen
dc.contributor.authorChristoffels, Alan G.en
dc.contributor.authorBajic, Vladimir B.en
dc.date.accessioned2015-08-03T09:43:34Zen
dc.date.available2015-08-03T09:43:34Zen
dc.date.issued2012-01en
dc.identifier.issn08906238en
dc.identifier.pmid22198179en
dc.identifier.doi10.1016/j.reprotox.2011.12.007en
dc.identifier.urihttp://hdl.handle.net/10754/562048en
dc.description.abstractThe Dragon Exploration System for Toxicants and Fertility (DESTAF) is a publicly available resource which enables researchers to efficiently explore both known and potentially novel information and associations in the field of reproductive toxicology. To create DESTAF we used data from the literature (including over 10. 500 PubMed abstracts), several publicly available biomedical repositories, and specialized, curated dictionaries. DESTAF has an interface designed to facilitate rapid assessment of the key associations between relevant concepts, allowing for a more in-depth exploration of information based on different gene/protein-, enzyme/metabolite-, toxin/chemical-, disease- or anatomically centric perspectives. As a special feature, DESTAF allows for the creation and initial testing of potentially new association hypotheses that suggest links between biological entities identified through the database.DESTAF, along with a PDF manual, can be found at http://cbrc.kaust.edu.sa/destaf. It is free to academic and non-commercial users and will be updated quarterly. © 2011 Elsevier Inc.en
dc.description.sponsorshipSVS and AC have been supported by the South African Department of Science and Technology/National Research Foundation (DST/NRF) Research Chair in Bioinformatics and Human Health.en
dc.publisherElsevier BVen
dc.subjectData-miningen
dc.subjectDatabaseen
dc.subjectDevelopmental toxicologyen
dc.subjectHypothesis generationen
dc.subjectIntegration systemsen
dc.subjectReproductive toxicologyen
dc.subjectText-miningen
dc.subjectToxicogenomicsen
dc.titleDESTAF: A database of text-mined associations for reproductive toxins potentially affecting human fertilityen
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.identifier.journalReproductive Toxicologyen
dc.contributor.institutionSouth African National Bioinformatics Institute (SANBI), University of Western Cape, Bellville 7535, South Africaen
kaust.authorDawe, Adam Seanen
kaust.authorRadovanovic, Aleksandaren
kaust.authorKaur, Mandeepen
kaust.authorSagar, Sunilen
kaust.authorBajic, Vladimir B.en
kaust.authorSchaefer, Ulfen
kaust.authorKamau, Allanen

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