Course Description

This introductory course covers practical aspects of the analysis of differential gene expression by RNAseq, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial steps of secondary analysis, such as functional enrichment of the obtained gene lists. Participants will first start learning the concepts using small example datasets, and then will apply the learned concepts in the training room using real world examples. Participants will be shown different alternatives for data analysis so they can achieve maximum autonomy after the course.

Target Audience

Life Scientists who want to be able to use NGS data (RNAseq) to infer genes differentially expressed between different conditions. Computational researchers that wish to get acquainted with the concepts and methodologies used in RNAseq are also welcome.


Course Documentation

Note - All the datasets used for this training course is available in the following button. You need to unzip this file and follow the instructions throughout the documentation.

Download ADER18F Datasets File Size: 167,9MB


Day 1

1 - Plan your experiment using NGS technologies:

2 - List steps in the analysis of RNAseq differential expression experiments

    What are the steps in RNAseq data analysis

3 - Assess the general quality of the raw data from the sequencing facility

4 - Do simple processing operations in the raw data to improve its quality

5 - Generate alignments of processed reads against a reference genome


Day 2

6 - Assess the general quality of the alignments and detect possible problems

7 - Generate tables of counts


Day 3

8 - Generate lists of differentially expressed genes, at least for a simple pairwise comparison


Day 4

9 - Perform simple functional enrichment analysis and understand the concepts involved (Slides(pdf))


Learning Objectives and Course Pre-requisites

Instructors


The source for this course webpage is on github.


Creative Commons License
ADER18F by GTPB is licensed under a Creative Commons Attribution 4.0 International License.