Project 4

Bioinformatic analyses of stress-related genetic data in chickens

ESR 4: Emiliano Videla

Supervisor: Dr. V. Anne Smith

Location: University of St-Andrews 

Project Description: How do genetics and early life experience shape behaviour? What traces of this can we see in an animal’s genes, gene expression and epigenetics? Bioinformatics analysis and cutting edge network and pathway based inference and machine learning techniques (e.g., Bayesian networks) will be applied to reveal gene networks related to stress responsivity.
The specific objectives are to: 1) identify differentially expressed genes via bioinformatics analysis, 2) connecting genetic data with physiological stress profiles in predictive networks; and 3) relate the genetic information to gene expression patterns in the amygdala in different genetic lines.