Motivation:

The scientific computing platform (and programming language) R was originally designed for statistical analyses, but it has quickly emerged as a de facto standard in bioinformatics. It is also rapidly gaining importance in machine learning and many other fields. So R is definitely a platform of the future. To know R well is a great plus in machine learning and it is even a must in bioinformatics.

The course is divided into two parts:

1. The R platform and programming language

• Introduction
• The R programming language
• R graphics
• Sweave
• Object-oriented programming in R
• Foreign language interfaces
• Packaging

2. Applications in bioinformatics

• Bioconductor
• Sequence handling and alignment
• Phylogeny
• Analyzing gene expression data
• Genome analysis

Course material will be made available in JKU Moodle, öffnet eine externe URL in einem neuen Fenster. Marking will be based on homework.