Validating subcellular localization prediction tools with mycobacterial proteins
Background: The computational prediction of mycobacterial proteins' subcellular localization is of key importance for proteome annotation and for the identification of new drug targets and vaccine candidates. Several subcellular localization classifiers have been developed over the past few yea...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2009
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/21913
- Acceso en línea:
- https://doi.org/10.1186/1471-2105-10-134
https://repository.urosario.edu.co/handle/10336/21913
- Palabra clave:
- Microbiología
Computational predictions
Computational tools
Predictive performance
Bacterial Proteins
Predictive performance
Mycobacterium
Bacteria (microorganisms)
- Rights
- License
- Abierto (Texto Completo)