[ 675INTR13 ] Studienfach (*)Introduction to R
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| Es ist eine neuere Version 2015W dieses Fachs/Moduls im Curriculum Bachelorstudium Bioinformatics 2018W vorhanden. |
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Form der Prüfung |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Anbietende Uni |
| 3 ECTS |
Gliederung |
B2 - Bachelor 2. Jahr |
Informatik |
Ulrich Bodenhofer |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Quellcurriculum |
Bachelorstudium Bioinformatics 2013W |
| Ziele |
(*)This course is meant to show how to approach and solve problems in bioinformatics and computational biology with tools supplied by R. The focus is on data analysis with machine learning methods and visualizing the results of this analysis.
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| Lehrinhalte |
(*)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. So R is definitely a platform of the future. To know R well is a great plus in statistics and 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
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| Untergeordnete Studienfächer, Module und Lehrveranstaltungen |
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