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Alternative low cost algorithms for metabolic pathway comparison

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Metabolic pathways provide key information to achieve a better understanding of life and all its processes; this is useful information for the improvement of medicine, agronomy, pharmacy and other similar areas. The main analysis tool used to study these pathways is based on the idea of pathway comparison, using graph data structures. Graph comparison has been defined as a computationally complex task. We propose two different approaches which simplify the problem of comparing pathways represented as graphs. The first algorithm consists in the transformation of a two-dimensional graph structure to a onedimensional structure, and thus aligning the corresponding data using a reduced 1D structure. The second algorithm consists in performing a pair analysis between graphs and thus eliminating all similarities, finally, showing these differences to the user. Our results show evidence of a quick, simple and effective way to resolve the described problem.

Original languageEnglish
Title of host publication2017 International Work Conference on Bio-Inspired Intelligence
Subtitle of host publicationIntelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings
EditorsCarlos Manuel Travieso-Gonzalez, Fernando Morgado-Dias, Jesus B. Alonso-Hernandez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538608500
DOIs
StatePublished - 19 Jul 2017
Event5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 - Funchal, Portugal
Duration: 10 Jul 201712 Jul 2017

Publication series

Name2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings

Conference

Conference5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017
Country/TerritoryPortugal
CityFunchal
Period10/07/1712/07/17

Keywords

  • graph comparison
  • metabolic pathway comparison

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