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.
Project Update 29.11.19
It has been almost a month since I started here in St. Andrews. During this time I have been settling in to the town and the Centre for Biological Diversity, at the Sir Harold Mitchell Building. I have been getting to know other PhD students and research members who are currently working at the Centre.
Regarding the project itself, I have been reading previous works in the bioinformatic field, especially related to chickens, domestication processes and the stress response. This allowed me to realise all the knowledge it has been discovered and where the knowledge is still missing.
I have been taking courses in basic bioinformatics and statistical analysis, and with both of my supervisors here in St. Andrews, we decided to start working, within the next few weeks, with some databases to get to know all the possible analysis we can perform in order to discover knowledge. I look forward to the coming weeks.