Building Proteomics Applications with the AIBench Application Framework

  • Miguel Reboiro-Jato
  • Daniel Glez-Peña
  • José R. Méndez-Reboredo
  • Hugo M. Santos
  • Ricardo J. Carreira
  • José L. Capelo
  • Florentino Fdez-Riverola
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 93)

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.

Keywords

proteomics mass-spectrometry MALDI-TOF AIBench framework 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Miguel Reboiro-Jato
    • 1
  • Daniel Glez-Peña
    • 1
  • José R. Méndez-Reboredo
    • 1
  • Hugo M. Santos
    • 2
  • Ricardo J. Carreira
    • 2
  • José L. Capelo
    • 3
  • Florentino Fdez-Riverola
    • 1
  1. 1.ESEI: Escuela Superior de Ingeniería InformáticaUniversity of Vigo, Edificio PolitécnicoOurenseSpain
  2. 2.REQUIMTE, Departamento de Química, Faculdade de Ciências e TecnologiaUniversidade Nova de LisboaLisboaPortugal
  3. 3.Bioscope Group, Physical Chemistry Department, Science FacultyUniversity of VigoOurenseSpain

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