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J Integr Bioinform. 2011 Sep 15;8(3):171. doi: 10.2390/biecoll-jib-2011-171.

Rapid development of Proteomic applications with the AIBench framework.

Author information

1
Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n., 32004 Ourense, Spain.

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.

PMID:
21926434
DOI:
10.2390/biecoll-jib-2011-171
[Indexed for MEDLINE]

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