A short dictionary definition: “bioinformatics is the science of collecting and analyzing complex biochemical and biological information using computers.”
This “Bioinformatics” section will contain tutorials that do not fit in single class category such as “Unix” or “R”, or “Molecular Graphics” but rather may be a combination of software, skills, and types of analyzes.
In the end it is about discovering often hidden information within the data (hence the header image above! – credit.)
Tutorials from this section may be cross-referenced under other entries as well.
June 29, 2020. We are still in the middle of the COVID19 pandemic, caused by the SARS-CoV-2 coronavirus. As an exercise in “bioinformatics” the following tutorial is meant to learn about the virus sequences of the “spike glycoprotein S” that allows the virus to attach and enter into cells. The purpose of the tutorial is…
The material is suited for beginners. At the end of the course you’ll have acquired sufficient proficiency and independence to use the software R within the RStudio graphical interface to analyze complex environmental datasets in tabular form and create useful and reproducible reports with annotated graphics. In addition this course provides a guide for both "classic R" and the newer "Tidyverse" methods of analysis. Students also explore creating "dynamic documents" with "markdown" in "literate programming" philosophy that is now recognized as a useful step forward towards "reproducible research."