Evomorph: Evolutionary morphometrics tool using Aegla singularis data.

CABRERA JUAN MANUEL; FEDERICO GIRI

Bahia Blanca

Congreso; 6th Argentinian Conference on Bioinformatics and Computational Biology; 2015

Asociación Argentina de Bioinformática y Biología Computacional

Macroevolutionary processes are difficult to measure as evidence in living organism. Computational simulation is an acceptable way to evaluate and understand those processes over major scales [1,2]. You can simulate evolution in a population varying different parameters (effective population size, phenotypic variance, and heritability), under different types of evolutionary mechanisms (drift, selection, etc.). In this work, we present an informatics tool to study evolutionary aspects using shape data of any species.