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Biological Data Analysis with R (2018 Spring)

Organisation: UTU / Dept. of Future Technologies

Credit Points: 5

Responsible Person: Csaba Ortutay

Course code: BIOI4440

Learning outcomes:
After this course, students will be able to use R for analyzing diverse data types from very different biological experiments. Lectures will introduce the theoretical aspects of the introduced methodologies, and after that, students will have opportunity to explore the practical ways of performing the analyses by obligatory homework exercises.

Contents:
1. Introduction to R statistical environment
2. Practicing R programming
3. Simple sequence analysis
4. Annotating gene groups
5. Measuring protein abundance with ELISA
6. Proteomics: mass spectometry
7. Inferring regulatory and other networks from gene expression data
8. Analysis of biological networks

8.3.–3.5.2018

Lectures:

  1. Thu 8.3.–3.5. weekly at 12–16, K127, Agora