| dc.contributor.author | van Heusden, Peter | |
| dc.contributor.author | Mashologu, Ziphozakhe | |
| dc.contributor.author | Lose, Thoba | |
| dc.date.accessioned | 2022-09-19T10:14:36Z | |
| dc.date.available | 2022-09-19T10:14:36Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | van Heusden, P. et al. (2022). The combat-tb workbench: Making powerful mycobacterium Tuberculosis bioinformatics accessible. mSphere, 7(1), e00991-21. https://doi.org/10.1128/msphere.00991-21 | en_US |
| dc.identifier.issn | 2379-5042 | |
| dc.identifier.uri | https://doi.org/10.1128/msphere.00991-21 | |
| dc.identifier.uri | http://hdl.handle.net/10566/7914 | |
| dc.description.abstract | Whole-genome sequencing (WGS) is a powerful method for detecting drug resistance, genetic diversity, and transmission dynamics of Mycobacterium tuberculosis. Implementation of WGS in public health microbiology laboratories is impeded by a lack of user-friendly, automated, and semiautomated pipelines. We present the COMBAT-TB Workbench, a modular, easy-to-install application that provides a web-based environment for Mycobacterium tuberculosis bioinformatics. The COMBAT-TB Workbench is built using two main software components: the IRIDA platform for its web-based user interface and data management capabilities and the Galaxy bioinformatics workflow platform for workflow execution. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | American Society for Microbiology | en_US |
| dc.subject | Mycobacterium tuberculosis | en_US |
| dc.subject | Bioinformatics | en_US |
| dc.subject | Tuberculosis | en_US |
| dc.subject | Biology | en_US |
| dc.title | The combat-tb workbench: Making powerful Mycobacterium tuberculosis bioinformatics accessible | en_US |
| dc.type | Article | en_US |
