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Multi-agent System for Mass Spectrometry Analysis

  • Conference paper
Trends in Practical Applications of Agents and Multiagent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 71))

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Abstract

This paper presents a framework for rapid distributed application development in mass spectrometry data analysis. The proposed system includes an extensible and flexible workflow that covers the whole data analysis process. This workflow was designed to be easily distributed and parallelized by implementing the underlying framework as a multi-agent system.

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References

  1. Findeisen, P., Neumaier, M.: Mass spectrometry based proteomics profiling as diagnostic tool in oncology: current status and future perspective. Clinical Chemistry and Laboratory Medicine (2009)

    Google Scholar 

  2. Griffiths, W.J., Wang, Y.: Mass spectrometry: from proteomics to metabolomics and lipidomics. Chemical Society reviews (2008)

    Google Scholar 

  3. Xu, C., Ma, B.: Software for computational peptide identification from MS-MS data. Drug Discovery Today (2006)

    Google Scholar 

  4. Sturm, M., Bertsch, A., Gröpl, C., Hildebrandt, A., Hussong, R., Lange, E., Pfeifer, N., Schulz-Trieglaff, O., Zerck, A., Reinert, K., Kohlbacher, O.: Open MS – An open-source software framework for mass spectrometry. BMC Bioinformatics (2008)

    Google Scholar 

  5. Kohlbacher, O., Reinert, K., Gröpl, C., Lange, E., Pfeifer, N., Schulz-Trieglaff, O., Sturm, M.: TOPP – the OpenMS proteomics pipeline. Bioinformatics (2006)

    Google Scholar 

  6. Veltri, P., Cannataro, M., Tradigo, G.: Sharing mass spectrometry data in a grid-based distributed proteomics laboratory. Information Processing & Management (2007)

    Google Scholar 

  7. Cannataro, M., Veltri, P.: A Grid Service for Pattern Extraction from Mass Spectrometry Data. In: Second International Conference on Semantics, Knowledge, and Grid (2006)

    Google Scholar 

  8. Quandt, A., Masselot, A., Hernandez, P., Hernandez, C., Maffioletti, S., Appel, R.D., Lisacek, F.: SwissPIT: An workflow-based platform for analyzing tandem-MS spectra using the Grid. Proteomics (2009)

    Google Scholar 

  9. Quandt, A., Hernandez, P., Kunzst, P., Pautasso, C., Tuloup, M., Hernandez, C., Appel, R.D.: Grid-based analysis of tandem mass spectrometry data in clinical proteomics. Studies in health technology and informatics (2007)

    Google Scholar 

  10. Yu, W., He, Z., Liu, J., Zhao, H.: Improving Mass Spectormetry Peak Detection Using Multiple Peak Alignment Results. Journal of Proteome Research (2007)

    Google Scholar 

  11. ZK – Direct RIA, http://www.zkoss.org (Last visit: 18/11/2009)

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Author information

Authors and Affiliations

  1. SING Group, Informatics Department, University of Vigo, Ed. Politécnico, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain

    Miguel Reboiro-Jato, Daniel Glez-Peña & Florentino Fdez-Riverola

  2. REQUIMTE, Departamento de Química, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Hugo M. Santos, Mário S. Diniz, Carlos Lodeiro & José L. Capelo

  3. BIOSCOPE Group, Physical Chemistry Department, Science Faculty, University of Vigo, Ourense, Spain

    Carlos Lodeiro

  4. BIOSCOPE Group, Nutrition & Bromatology Area, Analytical & Food Chemistry, Department, Science Faculty, University of Vigo at Ourense Campus, Spain

    José L. Capelo

Authors
  1. Miguel Reboiro-Jato
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  2. Daniel Glez-Peña
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  3. Hugo M. Santos
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  4. Mário S. Diniz
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  5. Carlos Lodeiro
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  6. José L. Capelo
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  7. Florentino Fdez-Riverola
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Editor information

Editors and Affiliations

  1. Laboratoire d’Informatique de Grenoble, Centre National de la Recherche Scientifique, Maison Jean Kuntzmann, 110 av. de la Chimie, F-38041, Grenoble, France

    Yves Demazeau

  2. Department of Information and Computing Sciences, Universiteit Utrecht Centrumgebouw Noord, office A117, Padualaan 14, De Uitho, 3584CH, Utrecht, The Netherlands

    Frank Dignum

  3. Departamento de Informática y Automática, Facultad de Ciencias , Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan M. Corchado

  4. Escuela Universitaria de Informática, Universidad Pontificia de Salamanca, Compañía 5, 37002, Salamanca, Spain

    Javier Bajo

  5. ETSI Informática, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012, Sevilla, Spain

    Rafael Corchuelo

  6. Departamento de Informática y Automática Facultad de Ciencias, Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  7. Escuela Superior de Ingeniería Informática, Edificio Politécnico, Despacho 408, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain

    Florentino Fernández-Riverola

  8. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain

    Vicente J. Julián

  9. Department of Computing and Management, Poznan University of Technology, Strzelecka Str. 11, 60965, Poznan, Poland

    Pawel Pawlewski

  10. Department of Computer Science, Dartmouth College 6211 Sudikoff Laboratory, NH 03755-3510, Hanover, USA

    Andrew Campbell

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Reboiro-Jato, M. et al. (2010). Multi-agent System for Mass Spectrometry Analysis. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-12433-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12432-7

  • Online ISBN: 978-3-642-12433-4

  • eBook Packages: EngineeringEngineering (R0)

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