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Rapid development of proteomic applications with the AIBench framework
López-Fernández, Hugo ; Reboiro-Jato, Miguel ; Glez-Pe~na, Daniel ; Méndez Reboredo, José Ramón ; Santos, Hugo Miguel ; Carreira, Ricardo Jorge ; Capelo-Martinez, José Luis ; Fdez-Riverola, Florentino
Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)
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.
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Faculty of Technology, Research Groups in Informatics |
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Data processing, computer science, computer systems |
Suggested Citation:
López-Fernández, Hugo ; Reboiro-Jato, Miguel ; Glez-Pe~na, Daniel ; Méndez Reboredo, José Ramón ; Santos, Hugo Miguel ; Carreira, Ricardo Jorge ; Capelo-Martinez, José Luis ; Fdez-Riverola, Florentino
( 2011) Rapid development of proteomic applications with the AIBench framework.
Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 8(3), 2011
Online-Journal: http://journal.imbio.de/article.php?aid=171
URL:
http://biecoll.ub.uni-bielefeld.de/volltexte/2011/5187
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