16-20 September 2019
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, 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.
Come to the first class with the following installed:
● R and Bioconductor: www.bioconductor.org/install
● Modern Statistics for Modern Biology
(by Holmes and Huber)
● The Bioconductor 2018 Workshop collection
Freie Universität Berlin; Habelschwerdter Allee 45, 14195 Berlin
Monday – Classes from 09:30 to 17:30
Session 1 – Introduction
Lecture 1: Data distributions
- random variables
- 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
- Data transformations
Hands-On 2: Graphics with base R and ggplot2
Please click HERE to get all the information about our packages.
> 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.