Analysis of RNA sequencing data with R/Bioconductor

Dates

15-19 June 2020

 

WHERE

This course will provide biologists and bioinformaticians with practical  statistical analysis skills to perform rigorous analysis of RNAseq data with R and Bioconductor. The course assumes basic familiarity with genomics, but does not assume prior statistical training.  It covers the statistical concepts necessary to design experiments and analyze high-throughput data generated by next-generation sequencing, including: exploratory data analysis, principal components analysis, clustering, differential expression, and gene set analysis.

 

 

overview

This course will provide biologists and bioinformaticians with practical  statistical analysis skills to perform rigorous analysis of RNAseq data with R and Bioconductor. The course assumes basic familiarity with genomics, but does not assume prior statistical training.  It covers the statistical concepts necessary to design experiments and analyze high-throughput data generated by next-generation sequencing, including: exploratory data analysis, principal components analysis, clustering, differential expression, and gene set analysis.

 

 

Preparation

Come to the first class with the following installed:

 

 

             R and Bioconductor: www.bioconductor.org/install

 

             R Studio: https://www.rstudio.com/products/rstudio/download3/

Textbook

 

             Modern Statistics for Modern Biology (by Holmes and Huber)

 

             The Bioconductor 2018 Workshop collection

 

program

 

Monday – Classes from 09:30 to 17:30


Session 1 – Introduction

 

Lecture 1: Data distributions

- random variables
- distributions
- population and samples


 
Hands-On 1: Introduction to R

Lecture 2: Creating high-quality graphics in R

- Visualizing data in 1D, 2D & more than two dimensions
- Heatmaps
- Data transformations

Hands-On 2: Graphics with base R and ggplot2

 

 


Instructor

 

Dr. Ludwig Geistlinger

 

Cost overview

Package 1

 

 

Package 2

 

 

          530 € (VAT included)

      880 € (VAT included)


Please click HERE to get all the information about our packages.

 

 

Registration deadline: 24th May 2020