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International Conference on Practical Applications of Agents and Multi-Agent Systems

PAAMS 2014: Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection pp 291–302Cite as

MASSA: Multi-Agent System to Support Functional Annotation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8473))

Abstract

Functional annotation aims to predict the biological function of DNA sequences. This complex and time-consuming task has to process huge amounts of data and get high quality results. In order to guarantee the quality of the outcome, the annotation should be carried out by human experts, but the great volume of biological data produced lately demands a high degree of automation. The features of this problem (i.e., knowledge-based, distributed resources, and an evolving environment) make it suitable for an agent approach. This paper presents MASSA, a Multi-Agent System to support functional annotation. MASSA combines the potentialities of the agent approach with a Rule-Based Expert System to reproduce the annotation steps, including the human reasoning, at the inference stage. The expert system integrates knowledge on Biology and tools. A case study on the annotation of sequences of four phylogenetically distinct species illustrates the results and use of MASSA.

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Author information

Authors and Affiliations

  1. Dept. of Biochemistry and Molecular Biology I, Universidad Complutense de Madrid, Avd. Complutense s/n, 28040, Madrid, Spain

    Daniela Xavier

  2. Department of Molecular and Human Genetics, Baylor College of Medicine, GARP (Genomic and RNA Profiling Core), One Baylor Plaza, 77030, Houston, USA

    Daniela Xavier

  3. Dept. of Fish Physiology and Biotechnology, Instituto de Acuicultura de Torre la Sal, Consejo Superior de Investigaciones Científicas (CSIC), Torre la Sal, Ribera de Cabanes s/n, 12595, Castellón, Spain

    Berta Crespo

  4. Dept. of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, C/ Profesor José García Santesmases s/n, 28040, Madrid, Spain

    Rubén Fuentes-Fernández & Jorge J. Gómez-Sanz

Authors
  1. Daniela Xavier
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  2. Berta Crespo
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  3. Rubén Fuentes-Fernández
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  4. Jorge J. Gómez-Sanz
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Editor information

Editors and Affiliations

  1. Centre National de la Recherche Scientifique, Grenoble, France

    Yves Demazeau

  2. Dipartimento di Scienze e Metodi dell’Ingegneria (DISMI), Università degli Studi di Modena e Reggio Emilia, Italy

    Franco Zambonelli

  3. Departamento Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n, 37008, Salamanca, Spain

    Juan M. Corchado

  4. Department of Artificial Intelligence, Technical Univesity of Madrid, Bloque 2,Campus Montegancedo, Boadilla del Monte, Despacho 2101, Madrid, Spain

    Javier Bajo

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© 2014 Springer International Publishing Switzerland

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Xavier, D., Crespo, B., Fuentes-Fernández, R., Gómez-Sanz, J.J. (2014). MASSA: Multi-Agent System to Support Functional Annotation. In: Demazeau, Y., Zambonelli, F., Corchado, J.M., Bajo, J. (eds) Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. PAAMS 2014. Lecture Notes in Computer Science(), vol 8473. Springer, Cham. https://doi.org/10.1007/978-3-319-07551-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-07551-8_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07550-1

  • Online ISBN: 978-3-319-07551-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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