Rapid development of proteomic applications with the AIBench framework

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 q...

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Main Authors:	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
Format:	Article
Language:	English
Published:	De Gruyter 2011-12-01
Series:	Journal of Integrative Bioinformatics
Online Access:	https://doi.org/10.1515/jib-2011-171

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spelling	doaj-351f5e7c398c4f5a8e2b73f38a7f70532021-09-06T19:40:31ZengDe GruyterJournal of Integrative Bioinformatics1613-45162011-12-0183163010.1515/jib-2011-171biecoll-jib-2011-171Rapid development of proteomic applications with the AIBench frameworkLópez-Fernández Hugo0Reboiro-Jato Miguel1Glez-Peña Daniel2Reboredo José R. Méndez3Santos Hugo M.4Carreira Ricardo J.5Capelo-Martínez José L.6Fdez-Riverola Florentino7Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, SpainEscuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, SpainEscuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, SpainEscuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, SpainREQUIMTE, Departamento de Química, Facultade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisboa, PortugalREQUIMTE, Departamento de Química, Facultade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisboa, PortugalBioscope Group, Physical Chemistry Department, University of Vigo, Ourense, SpainEscuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, SpainIn 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.https://doi.org/10.1515/jib-2011-171
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	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
spellingShingle	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 Rapid development of proteomic applications with the AIBench framework Journal of Integrative Bioinformatics
author_facet	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
author_sort	López-Fernández Hugo
title	Rapid development of proteomic applications with the AIBench framework
title_short	Rapid development of proteomic applications with the AIBench framework
title_full	Rapid development of proteomic applications with the AIBench framework
title_fullStr	Rapid development of proteomic applications with the AIBench framework
title_full_unstemmed	Rapid development of proteomic applications with the AIBench framework
title_sort	rapid development of proteomic applications with the aibench framework
publisher	De Gruyter
series	Journal of Integrative Bioinformatics
issn	1613-4516
publishDate	2011-12-01
description	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.
url	https://doi.org/10.1515/jib-2011-171
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Rapid development of proteomic applications with the AIBench framework

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