Alternative low cost algorithms for metabolic pathway comparison

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4 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2017 International Work Conference on Bio-Inspired Intelligence
Subtítulo de la publicación alojadaIntelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings
EditoresCarlos Manuel Travieso-Gonzalez, Fernando Morgado-Dias, Jesus B. Alonso-Hernandez
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538608500
DOI
EstadoPublicada - 19 jul 2017
Evento5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 - Funchal, Portugal
Duración: 10 jul 201712 jul 2017

Serie de la publicación

Nombre2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings

Conferencia

Conferencia5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017
País/TerritorioPortugal
CiudadFunchal
Período10/07/1712/07/17

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