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dc.contributor.authorLose, Thoba
dc.contributor.authorvan Heusden, Peter A.
dc.contributor.authorChristoffels, Alan G.
dc.date.accessioned2020-11-23T07:57:25Z
dc.date.available2020-11-23T07:57:25Z
dc.date.issued2020
dc.identifier.citationLose, T. et al. (2020). COMBAT-TB-NeoDB: Fostering tuberculosis research through integrative analysis using graph database technologies. Bioinformatics ,36(3), pp. 982-983en_US
dc.identifier.issn1367-4811
dc.identifier.uri10.1093/bioinformatics/btz658
dc.identifier.urihttp://hdl.handle.net/10566/5450
dc.description.abstractTuberculosis (TB) is a significant global health threat, with onethird of the population infected with its causative agent Mycobacterium tuberculosis (M.tb). Globally, researchers have been responding with a plethora of heterogeneous TB databases with each focusing on different subsets of TB data and present limited options for data integration thus impeding the chances of integrative analysis. Although each database can provide answers to certain questions in its scope, it falls short in answering questions that require federated queries across multiple domains of biological knowledge.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.subjectTuberculosis (TB)en_US
dc.subjectIntegrative analysisen_US
dc.subjectDatabase technologiesen_US
dc.subjectBioinformaticiansen_US
dc.titleCOMBAT-TB-NeoDB: Fostering tuberculosis research through integrative analysis using graph database technologiesen_US
dc.typeArticleen_US


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