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PFS0161
RNA-seq data analysis
The course contains three intense days of lectures and computer exercises. It is initiated with an introduction to Linux and working on UPPMAX. In the following, lectures from experts in RNA-seq and biostatistics will cover a range of cutting-edge issues in RNA quality control, transcript assembly, differential expression analysis and downstream analysis. An extensive set of computer exercises will familiarize you with concepts and programs for mapping, quality control of your RNA-seq data, and differential expression analysis.
Topics that will be covered include:
- Introduction to Linux and UPPMAX
- Introduction RNA seq
- RNA seq read mapping programs
- Quality assessment of RNA-seq data
- Differential expression analysis.
Topics that will be covered include:
- Introduction to Linux and UPPMAX
- Introduction RNA seq
- RNA seq read mapping programs
- Quality assessment of RNA-seq data
- Differential expression analysis.
Kursplan
PFS0161 RNA-seq data analysis, 2,0 Hp
Ämnen
BiologiUtbildningens nivå
ForskarnivåFörkunskapskrav
The course is primarily for PhD students within the SLU Research School Organism Biology but will be open for all interested PhD students/researchers.Mål
After the course students are expected to be familiar with the theory and practice of RNA-seq analysis.Innehåll
The course contains three intense days of lectures and computer exercises. It is initiated with an introduction to Linux and working on UPPMAX. In the following, lectures from experts in RNA-seq and biostatistics will cover a range of cutting-edge issues in RNA quality control, transcript assembly, differential expression analysis and downstream analysis. An extensive set of computer exercises will familiarize you with concepts and programs for mapping, quality control of your RNA-seq data, and differential expression analysis.Topics that will be covered include:
- Introduction to Linux and UPPMAX
- Introduction RNA seq
- RNA seq read mapping programs
- Quality assessment of RNA-seq data
- Differential expression analysis.