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

Adil Salhi, Sónia Negrão, Magbubah Essack, Mitchell J. L. Morton, Salim Bougouffa, Rozaimi Mohamad Razali, Aleksandar Radovanovic, Benoit Marchand, Maxat Kulmanov, Robert Hoehndorf, Mark A. Tester, Vladimir B. Bajic

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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, using any of the mainstream web browsers, including Firefox, Safari and Chrome.
Original languageEnglish (US)
JournalScientific Reports
Issue number1
StatePublished - Jul 20 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.


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