Algoritmos alternos de bajo coste para la comparación de rutas metabólicas en plantas
2018-09-17T17:57:08Z
Informe Final de Proyectos de Investigación y Extensión
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 algorithms with 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 one-dimensional structure, and thus aligning the
corresponding data using a reduced 1D structure. The second algorithm consists in
performing a pair analysis between graphs, that is to say a relation of 2 equal nodes present
in both 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.
The mechanism proposed in algorithm 1 can be used as a prior evaluator to predict good
comparisons in case a deeper analysis is desired. We show that the loss of information or
precision does not affect much the result, which is to give the user a similarity score between
the two analyzed pathways.
For algorithm 2 the proposal is to offer the expert an additional point of view for his
evaluation of the pathway in question. In this case, no score is provided but the listed
differences.
Instituto Tecnológico de Costa Rica
Lidia Gómez
Cartago - 300m Este del Estadio Fello Meza. Apartado 159-7050.
2550-2263, 2550-2365