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Biostatistics in R II

Language

English

Course format Blended
Date 2020-10-19 - 2020-12-16

Course introduction

Modern experimental platforms nowadays deliver the quantification of pools of biological molecules. Their analysis requires complex bioinformatics pipelines to obtain biologically relevant results. The students will use the acquired knowledge to design and apply work flows that handle omics data sets. The course consists of a theoretical and an extensive practical part, with the objective to provide advanced understanding of data analysis with R scripts and application of bioinformatics tools.

Prerequisites

Students taking the course are expected to:

  • Have knowledge in statistics 
  • Understand the basic principles of molecular biology
  • Have basic programming skills in R
  • Know the fundamentals of biostatistics

Learning outcomes

The learning objectives of the course are that the student demonstrates the ability to:

  • independently analyze even conceptually demanding data sets. 
  • work with large data amounts and carry out standard statistical analysis to identify relevant features. 
  • use standard algorithms for multi-variate analysis
  • design scripts for detailed visualization of their results. 
  • know and apply tools for data interpretation.
  • know and apply standard pipelines for the processing of omics data.
  • know how to objectively discuss applied data analysis methods presented e.g. in publications.

Files/Documents

ISCED Categories

Statistics
Bioinformatics