TY - GEN
T1 - Building proteomics applications with the aibench application framework
AU - Reboiro-Jato, Miguel
AU - Glez-Peña, Daniel
AU - Méndez-Reboredo, José R.
AU - Santos, Hugo M.
AU - Carreira, Ricardo J.
AU - Capelo, José L.
AU - Fdez-Riverola, Florentino
N1 - Sem PDF.
Ministerio de Ciencia e Innovacion (Spain) (TIN2009-14057-C03-02)
PY - 2011/9/23
Y1 - 2011/9/23
N2 - AIBench is a successful Java application framework focused in the biomedical field. In this paper, we demonstrate the suitability of this framework in aiding the development of proteomics applications working with mass spectrometry data. We present two case studies: Decision Peptide-Driven for accurate protein quantification and Bacterial Identification for Tuberculosis biomarker search and diagnosis.
AB - AIBench is a successful Java application framework focused in the biomedical field. In this paper, we demonstrate the suitability of this framework in aiding the development of proteomics applications working with mass spectrometry data. We present two case studies: Decision Peptide-Driven for accurate protein quantification and Bacterial Identification for Tuberculosis biomarker search and diagnosis.
KW - AIBench framework
KW - MALDI-TOF
KW - mass-spectrometry
KW - proteomics
UR - http://www.scopus.com/inward/record.url?scp=80052943325&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-19914-1_15
DO - 10.1007/978-3-642-19914-1_15
M3 - Conference contribution
AN - SCOPUS:80052943325
SN - 9783642199134
T3 - Advances in Intelligent and Soft Computing
SP - 99
EP - 107
BT - 5th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB 2011)
A2 - Rocha, Miguel
A2 - Corchado Rodriguez, Juan
A2 - Fdez-Riverola, Florentino
A2 - Valencia, Alfonso
ER -
