Powered by Coursera, this approximately 60 hour online course will guide students through programming and problem solving in R. Statistical analysis of data sets, debugging, and code organization are just a few topics that are covered in this in-depth program.
Through an encompassing tutorial, Dr. Rodenburg provides an easy to read guide on the crucial aspects of transmission electron microscopy (TEM). This tutorial was designed for, but not limited to, students with no prior knowledge of TEM.
Headed by the Biological Electron Microscope Facility, this evolving tutorial page includes many desirable resources such as virtual workshops, in-depth lectures, and informative procedures focusing on CryoEM.
Cryo EM has emerged as a powerful tool for high-resolution structure determination.
To aid the training efforts of newcomers to the field, this site has a media-rich curriculum to augment users’ own hands-on training. The training material contains videos, animations, and interactive simulations that cover the major components of the cryo-EM workflow.
This course will provide a practical introduction to common tools used in data-intensive research, including the UNIX shell, version control with git, RMarkdown, JupyterLab, and workflows with snakemake.
These R video tutorials are organized into 5 different series with the overall goal of using R to implement standard sets of analytic procedures learned in introductory and intermediate applied statistics course.
Extensive repository of bioinformatics courses that concentrate on many applicable topics including RNA-Seq, genome assembly, and microbial community analysis.
Course Materials (Free)
UC Davis Genome Center Event Registration (Prices vary)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today’s model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated.
Book available for purchase here
More information about the book
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.