(*) Unfortunately this information is not available in english.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
B2 - Bachelor's programme 2. year
Computer Science
Ulrich Bodenhofer
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Bioinformatics 2012W
Objectives
(*)The scientific computing platform (and programming language) R was originally designed for statistical analyses but has quickly emerged as a de facto standard in bioinformatics and is also rapidly becoming important in machine learning. In this regard, R is a platform of the future. Knowing R well is a great plus in statistics and machine learning, and a must in bioinformatics.
Subject
(*)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
Criteria for evaluation
(*)Marking will be based on five assignments.
Language
English
Changing subject?
No
Corresponding lecture
(*)BIMWNKVIRAB: KV Introduction to R with applications to bioinformatics (3 ECTS)
