Resources

Bioinformatics

Analysing DNA data is hard! But fortunately there are lots of great resources out there. Below I’ve listed a few things below that have been helpful for me.

• This video is a useful introduction to the process of DNA sequencing.
• It’s useful to get comfortable with the command line for any kind of genomics or ‘big data’ project, as this is the main way you interact with the HPC (high performance cluster). There are loads of courses online, e.g. codeacademy.
• Pipeline management tools such as Snakemake and Nextflow allow you to make your workflows more streamlined and reproducible. There are loads of pre-designed workflows out there, e.g.
  • nf-polish for cleaning DNA from avian museum samples.
  • PopGLen for doing population genomics analyses on mixed museum and contemporary samples.

Books

• Statistical Rethinking by Richard McElreath. See also the youtube series.
• Superior: The Return of Race Science by Angela Saini. An important read for anyone studying evolutionary biology/genetics.

Website template

I used the Hugo Academic CV template to create this website.