DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species

Handle URI:
http://hdl.handle.net/10754/625248
Title:
DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species
Authors:
Salhi, Adil; Negrão, Sónia; Essack, Magbubah ( 0000-0003-2709-5356 ) ; Morton, Mitchell J. L.; Bougouffa, Salim ( 0000-0001-9218-6452 ) ; Mohamad Razali, Rozaimi ( 0000-0002-8996-3975 ) ; Radovanovic, Aleksandar; Marchand, Benoit; Kulmanov, Maxat ( 0000-0003-1710-1820 ) ; Hoehndorf, Robert ( 0000-0001-8149-5890 ) ; Tester, Mark A. ( 0000-0002-5085-8801 ) ; Bajic, Vladimir B. ( 0000-0001-5435-4750 )
Abstract:
Tomato is the most economically important horticultural crop used as a model to study plant biology and particularly fruit development. Knowledge obtained from tomato research initiated improvements in tomato and, being transferrable to other such economically important crops, has led to a surge of tomato-related research and published literature. We developed DES-TOMATO knowledgebase (KB) for exploration of information related to tomato. Information exploration is enabled through terms from 26 dictionaries and combination of these terms. To illustrate the utility of DES-TOMATO, we provide several examples how one can efficiently use this KB to retrieve known or potentially novel information. DES-TOMATO is free for academic and nonprofit users and can be accessed at http://cbrc.kaust.edu.sa/des_tomato/, using any of the mainstream web browsers, including Firefox, Safari and Chrome.
KAUST Department:
Computational Bioscience Research Center (CBRC); Biological and Environmental Sciences and Engineering (BESE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Salhi A, Negrão S, Essack M, Morton MJL, Bougouffa S, et al. (2017) DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-05448-0.
Publisher:
Springer Nature
Journal:
Scientific Reports
Issue Date:
14-Jul-2017
DOI:
10.1038/s41598-017-05448-0
Type:
Article
ISSN:
2045-2322
Sponsors:
The computational analysis for this study was performed on Dragon and Snapdragon compute clusters of the Computational Bioscience Research Center (CBRC) at King Abdullah University of Science and Technology (KAUST). This work has been supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Awards No URF/1/2302 and No URF/1/1976-02, and KAUST Base Research Fund (BAS/1/1606-01-01) to VBB.
Additional Links:
https://www.nature.com/articles/s41598-017-05448-0
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC); Biological and Environmental Sciences and Engineering (BESE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSalhi, Adilen
dc.contributor.authorNegrão, Sóniaen
dc.contributor.authorEssack, Magbubahen
dc.contributor.authorMorton, Mitchell J. L.en
dc.contributor.authorBougouffa, Salimen
dc.contributor.authorMohamad Razali, Rozaimien
dc.contributor.authorRadovanovic, Aleksandaren
dc.contributor.authorMarchand, Benoiten
dc.contributor.authorKulmanov, Maxaten
dc.contributor.authorHoehndorf, Roberten
dc.contributor.authorTester, Mark A.en
dc.contributor.authorBajic, Vladimir B.en
dc.date.accessioned2017-07-26T06:19:09Z-
dc.date.available2017-07-26T06:19:09Z-
dc.date.issued2017-07-14en
dc.identifier.citationSalhi A, Negrão S, Essack M, Morton MJL, Bougouffa S, et al. (2017) DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-05448-0.en
dc.identifier.issn2045-2322en
dc.identifier.doi10.1038/s41598-017-05448-0en
dc.identifier.urihttp://hdl.handle.net/10754/625248-
dc.description.abstractTomato is the most economically important horticultural crop used as a model to study plant biology and particularly fruit development. Knowledge obtained from tomato research initiated improvements in tomato and, being transferrable to other such economically important crops, has led to a surge of tomato-related research and published literature. We developed DES-TOMATO knowledgebase (KB) for exploration of information related to tomato. Information exploration is enabled through terms from 26 dictionaries and combination of these terms. To illustrate the utility of DES-TOMATO, we provide several examples how one can efficiently use this KB to retrieve known or potentially novel information. DES-TOMATO is free for academic and nonprofit users and can be accessed at http://cbrc.kaust.edu.sa/des_tomato/, using any of the mainstream web browsers, including Firefox, Safari and Chrome.en
dc.description.sponsorshipThe computational analysis for this study was performed on Dragon and Snapdragon compute clusters of the Computational Bioscience Research Center (CBRC) at King Abdullah University of Science and Technology (KAUST). This work has been supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Awards No URF/1/2302 and No URF/1/1976-02, and KAUST Base Research Fund (BAS/1/1606-01-01) to VBB.en
dc.publisherSpringer Natureen
dc.relation.urlhttps://www.nature.com/articles/s41598-017-05448-0en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleDES-TOMATO: A Knowledge Exploration System Focused On Tomato Speciesen
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalScientific Reportsen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionNew York University, Abu Dhabi, UAE.en
kaust.authorSalhi, Adilen
kaust.authorNegrão, Sóniaen
kaust.authorEssack, Magbubahen
kaust.authorMorton, Mitchell J. L.en
kaust.authorBougouffa, Salimen
kaust.authorMohamad Razali, Rozaimien
kaust.authorRadovanovic, Aleksandaren
kaust.authorKulmanov, Maxaten
kaust.authorHoehndorf, Roberten
kaust.authorTester, Mark A.en
kaust.authorBajic, Vladimir B.en
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