Abstract
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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Reboiro-Jato, M. et al. (2011). Building Proteomics Applications with the AIBench Application Framework. In: Rocha, M.P., Rodríguez, J.M.C., Fdez-Riverola, F., Valencia, A. (eds) 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011). Advances in Intelligent and Soft Computing, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19914-1_15
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DOI: https://doi.org/10.1007/978-3-642-19914-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19913-4
Online ISBN: 978-3-642-19914-1
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