Category: Genomics

This repository contains many of the course materials (for free!) from the Bio720 course taught by Brian Golding and Ian Dworkin at McMaster University in 2018. While this course is structured for graduate students, anyone who has a working knowledge of basic molecular biology and genetics should be able to use this course. The goal of this course is to allow the user to develop fundamental computational skills that will prepare them to further develop skills appropriate for bioinformatics and genomics.

To learn more about this course, click here.

This is a set of lectures, exercises, and challenges using R. Topics covered include: an introduction to comparative methods and R, Brownian motion, PGLS, ancestral state reconstruction, trait evolution, diversification with BAMM and RPanda, state dependent diversification, Mk models and character correlations, and placing fossils/recently extinct taxa on a tree.

adegenet is an R package dedicated to the exploratory analysis of genetic data. It implements a set of tools ranging from multivariate methods to spatial genetics and genome-wise SNP data analysis.

An introductory course to R and RStudio that focuses on teaching vital coding functions to students with the goal of understanding bioinformatics principles and being able to plot coverage along a chromosome.

Introduction to R with an emphasis on statistical tools and plotting for bioinformatics

Estimated Course Duration: 16.25 hour