Rapid development of Proteomic applications with the AIBench framework.
J Integr Bioinform
; 8(3): 171, 2011 Sep 15.
Article
en En
| MEDLINE
| ID: mdl-21926434
ABSTRACT
In this paper we present two case studies of Proteomics applications development using the AIBench framework, a Java desktop application framework mainly focused in scientific software development. The applications presented in this work are Decision Peptide-Driven, for rapid and accurate protein quantification, and Bacterial Identification, for Tuberculosis biomarker search and diagnosis. Both tools work with mass spectrometry data, specifically with MALDI-TOF spectra, minimizing the time required to process and analyze the experimental data.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Bacterias
/
Proteínas Bacterianas
/
Tuberculosis
/
Programas Informáticos
/
Proteómica
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
J Integr Bioinform
Asunto de la revista:
INFORMATICA MEDICA
Año:
2011
Tipo del documento:
Article
País de afiliación:
España