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Method Course "Analysis of NextGen RNA-Seq data for expression profiling and protein-binding RNAs"


10- 14 October 2016 | Universität Regensburg | Graduate Research Academy RNA Biology

 

Course overview


The course aims to provide an introduction to the current state of RNA sequencing data analyses. Methods and applications will be presented by internationally renowned guest speakers in the mornings and hands-on training on the latest computational approaches will follow in the afternoons.
During the first day, we will introduce you to the linux environment and the statistical programming language R and BioConductor software packages for biological high-throughput data. The basics of R scripting will be practiced. During the following four days, we will cover the complete work-flow of RNA-seq analysis and also focus on special applications such as CLIP-seq.
Computers for hands-on exercises will be provided along with demo data sets.

 

Target group


This course was developed for PhD students with a background in biology and related fields. Preference will be given to PhD students who are applying or planning to apply high throughput sequencing technologies and bioinformatics methods in their research. Basic linux and scripting  skills (e.g. in R) are beneficial, but not mandatory to attend the course.

 

Topics


The R/Bioconductor environment for statistical data analyses and graphics

Short read sequence alignment

Quality control

Normalization and data reformatting

Basic Statistics

Selecting differentially regulated genes

Selecting alternative splicing events

Identification of protein-bound RNAs

Biological interpretation and visualization

 

Outcomes


After this course you should be able to:

understand the advantages and limitations of high-throughput RNA sequencing

assess the quality of your datasets

apply appropriate short read alignment algorithms

quantify differential expression from RNA-seq datasets

summarize results in tables and figures

know your way around in R/Bioconductor to analyse your own dataset

 

 

 

Contact

Graduate Research Academy
RNA Biology
Universitätsstr. 31
93053 Regensburg
Germany

 

Phone: +49(0)941-943-3111
Email: info@graduate-academy.sfb960.de
Room: E 4.1.323

Office Hours

Monday - Thursday: 9:00 - 11.30
or by arrangement

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