Objectives
By the end of the study module students will be able to:
- understand the basic bioinformatics approaches for transcriptomics data preprocessing, quality control, differential expression analysis and gene function enrichment analysis
- Run a basic R data analysis workflow independently for transcriptomics sequencing data
- Use databases available on the internet that link protein sequence-level information to atom-detailed interaction data
- Produce protein sequence alignments, and explain how sequence differences can be reflected in protein structure and function, for example, how the differences affect the ability to bind drug molecules
-Independently produce research results, which are based on topics covered during the course
By the end of the study module students will be able to:
- understand the basic bioinformatics approaches for transcriptomics data preprocessing, quality control, differential expression analysis and gene function enrichment analysis
- Run a basic R data analysis workflow independently for transcriptomics sequencing data
- Use databases available on the internet that link protein sequence-level information to atom-detailed interaction data
- Produce protein sequence alignments, and explain how sequence differences can be reflected in protein structure and function, for example, how the differences affect the ability to bind drug molecules
-Independently produce research results, which are based on topics covered during the course
- Opettaja
Olli Pentikäinen