Applied Statistics and Bioinformatics with R and Bioconductor

Dates

16-20 September 2019

 

overview

This course will provide biologists and bioinformaticians with practical  statistical analysis skills to perform rigorous analysis of high-throughput  genomic data. The course assumes basic familiarity with genomics and with R  programming, 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

 

WHERE

BGBM, Free University, Königin-Luise-Straße 6-8, 14195 Berlin

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)

      795 € (VAT included)


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

Application deadline is: May 24th, 2019.

 

Cancellation Policy:

 

> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.

 

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.