Machine learning-based approach for identification of new resistance associated mutations from whole genome sequences of <i>Mycobacterium tuberculosis</i>
Our prediction method has been implemented as TB-AMRpred webserver and command line tool, available freely at http://www.nii.ac.in/TB-AMRpred.html and https://github.com/Ankitapal1995/TB-AMRprd.
Authors
- Ankita Pal (ORCID: https://orcid.org/0000-0003-3872-1674)
- Debasisa Mohanty (ORCID: https://orcid.org/0000-0002-3374-0588)
Institutions
- Institute of Bioinformatics (IN)
- National Institute of Immunology (IN)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf050
- Citations
- 2
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.78