COMBAT-TB-NeoDB: Fostering tuberculosis research through integrative analysis using graph database technologies
| 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.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.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.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 |