Rapid development of proteomic applications with the AIBench framework

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

doi:10.1515/jib-2011-171

Journal of Integrative Bioinformatics (Dec 2011)

Rapid development of proteomic applications with the AIBench framework

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

Affiliations

López-Fernández Hugo: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain
Reboiro-Jato Miguel: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain
Glez-Peña Daniel: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain
Reboredo José R. Méndez: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain
Santos Hugo M.: REQUIMTE, Departamento de Química, Facultade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisboa, Portugal
Carreira Ricardo J.: REQUIMTE, Departamento de Química, Facultade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisboa, Portugal
Capelo-Martínez José L.: Bioscope Group, Physical Chemistry Department, University of Vigo, Ourense, Spain
Fdez-Riverola Florentino: Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain

DOI: https://doi.org/10.1515/jib-2011-171
Journal volume & issue: Vol. 8, no. 3
pp. 16 – 30

Abstract

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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 in Journal of Integrative Bioinformatics

ISSN: 1613-4516 (Online)
Publisher: De Gruyter
Country of publisher: Germany
LCC subjects: Technology: Chemical technology: Biotechnology
Website: https://www.degruyter.com/view/j/jib

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