| Detailinformationen |
| Quellcurriculum |
Masterstudium Bioinformatik 2012W |
| Ziele |
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.
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| Lehrinhalte |
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
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| Beurteilungskriterien |
Marking will be based on five assignments.
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| Abhaltungssprache |
Englisch |
| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
BIMWNKVIRAB: KV Introduction to R with applications to bioinformatics (3 ECTS)
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