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BY-NC-ND 4.0 license Open Access Published by De Gruyter October 18, 2016

Rapid development of proteomic applications with the AIBench framework

Hugo López-Fernández, Miguel Reboiro-Jato, Daniel Glez-Peña, José R. Méndez Reboredo, Hugo M. Santos, Ricardo J. Carreira, José L. Capelo-Martínez and Florentino Fdez-Riverola

Summary

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.

Published Online: 2016-10-18
Published in Print: 2011-12-1

© 2011 The Author(s). Published by Journal of Integrative Bioinformatics.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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