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A Problem-Driven Approach for Building a Bioinformatics GraphDB

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Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2016)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10477))

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Abstract

The development of high throughput technology in biological and medical domains has seen a growing intervention of informatics support. Indeed, the big amount of data produced is difficult to analyse and interpret in terms of time consuming and number of different resources used. In this context, the challenge would be to have an integrated and multi component database with a user friendly interface able to solve biological problems without a priori high-level of bioinformatics knowledge. This need arises from the evidence that biologists have multi-task and multi-levels problems to solve. To this aim, we propose a bottom-up, graph-based approach for integrating bioinformatics resources, usually databases, starting from typical biological scenarios, in order to solve novel bioinformatics problems. The integrated resources can be queried by means of a graph traversal language such as Gremlin.

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Authors and Affiliations

  1. ICAR-CNR, National Research Council of Italy, via Ugo La Malfa 153, 90146, Palermo, Italy

    Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Antonio Messina, Riccardo Rizzo & Alfonso Urso

Authors
  1. Antonino Fiannaca
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  2. Massimo La Rosa
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  3. Laura La Paglia
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  4. Antonio Messina
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  5. Riccardo Rizzo
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  6. Alfonso Urso
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Corresponding author

Correspondence to Massimo La Rosa .

Editor information

Editors and Affiliations

  1. Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom

    Andrea Bracciali

  2. School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

    Giulio Caravagna

  3. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, United Kingdom

    David Gilbert

  4. Department of Management and Innovation Systems DISA-MIS, University of Salerno, Fisciano, Italy

    Roberto Tagliaferri

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Fiannaca, A., La Rosa, M., La Paglia, L., Messina, A., Rizzo, R., Urso, A. (2017). A Problem-Driven Approach for Building a Bioinformatics GraphDB. In: Bracciali, A., Caravagna, G., Gilbert, D., Tagliaferri, R. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2016. Lecture Notes in Computer Science(), vol 10477. Springer, Cham. https://doi.org/10.1007/978-3-319-67834-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-67834-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67833-7

  • Online ISBN: 978-3-319-67834-4

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