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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication5th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB 2011)
EditorsMiguel Rocha, Juan Corchado Rodriguez, Florentino Fdez-Riverola, Alfonso Valencia
Pages99-107
Number of pages9
DOIs
Publication statusPublished - 23 Sep 2011

Publication series

NameAdvances in Intelligent and Soft Computing
Volume93
ISSN (Print)1867-5662

Keywords

  • AIBench framework
  • MALDI-TOF
  • mass-spectrometry
  • proteomics

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