dc.contributor.author | Lose, Thoba | |
dc.contributor.author | van Heusden, Peter A. | |
dc.contributor.author | Christoffels, Alan G. | |
dc.date.accessioned | 2020-11-23T07:57:25Z | |
dc.date.available | 2020-11-23T07:57:25Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Lose, T. et al. (2020). COMBAT-TB-NeoDB: Fostering tuberculosis research through integrative analysis using graph database technologies. Bioinformatics ,36(3), pp. 982-983 | en_US |
dc.identifier.issn | 1367-4811 | |
dc.identifier.uri | 10.1093/bioinformatics/btz658 | |
dc.identifier.uri | http://hdl.handle.net/10566/5450 | |
dc.description.abstract | Tuberculosis (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.iso | en | en_US |
dc.publisher | Oxford University Press | en_US |
dc.subject | Tuberculosis (TB) | en_US |
dc.subject | Integrative analysis | en_US |
dc.subject | Database technologies | en_US |
dc.subject | Bioinformaticians | en_US |
dc.title | COMBAT-TB-NeoDB: Fostering tuberculosis research through integrative analysis using graph database technologies | en_US |
dc.type | Article | en_US |