RNA-Seq course

Differential gene expression analysis using RNA-Seq data and the Galaxy platform

Your profit: This course covers topics regarding experimental design, introduction and considerations for NGS sequencing, hands on sessions to get from raw sequencing data to count matrices using the Galaxy[1] platform, QCs for RNA-Seq data, sample visualizations, statistical analyses using R and the DESeq2 package[2] and the creation of reports using RStudio and R Markdown[3]. You will create an integrated report using RStudio and R Markdown [3] and have the opportunity to analyze your own data or a published dataset of interest.

Topics

  • Introduction to R Markdown (Day 1)
  • Fundamentals of RNA-seq analysis
  • Processing of RNA-seq data using Galaxy
  • Visualization of sequencing data and analysis of RNA-Seq data
  • Integrated RNA-Seq data analysis with R and RStudio

Methods: Presentations, Hands-on sessions and exercises, Homework assignment, Q&A sessions
Mode: During the Corona-pandemic the course is held as an online course
Requirements:
Introduction to R or equivalent course/experience
Duration:
3 Days
Language:
English

Dates and Application
You can check the current dates and whether the courses are already fully booked here*.
Please apply via the forms of the HR Development department*.

References
[1] https://galaxyproject.org
[2] Love, Michael I., Wolfgang Huber, and Simon Anders. 2014. “Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.” Genome Biology 15 (12):550. http://dx.doi.org/10.1186/s13059-014-0550-8.
[3] https://rstudio.com/, https://rmarkdown.rstudio.com

* Links marked with * are only available for HMGU staff.