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...

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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)