RNA-Seq Part II
Studying the transcriptome.
RNA-Seq allows to study the transcriptoe of organisms. Several applications of RNA-Seq include measuring expression levels of genes, gene annotation or the interrogation of the gene space as a complexity. This course teaches to process RNA Seq data from receiving raw sequence files to getting expression values for genes.
Instructors
- Burkhard Steuernagel
Audience
Any Staff or Student who has an interest in bioinformatics and intends to conduct RNA-Seq analysis.
Overview
RNA-Seq allows to study the transcriptoe of organisms. Several applications of RNA-Seq include measuring expression levels of genes, gene annotation or the interrogation of the gene space as a complexity. This course teaches to process RNA Seq data from receiving raw sequence files to getting expression values for genes.
Schedule
Day1
09:30 Introduction to Linux
10:30 Design of RNA Seq experiments
11:30 Aligning RNA Seq reads to a genomic reference
13:00 Expression values
14:00 A de novo transcriptome assembly using Trinity
Learning outcomes
By the end of the course you should be able to:
- By the end of the course you should be able to
Pre-requisites
The course will make use of a linux environment and a command line. Although this will briefly be introduced, basic knowlege of linux is advantagous. This course follows RNA-Seq part I, and attendees need to have followed that course or have equivalent knowledge of the early stages of RNA-Seq analysis.
Full course syllabus
- Introduction to Linux
- Design of RNA Seq experiments
- Aligning RNA Seq reads to a genomic reference
- Expression values
- A de novo transcriptome assembly using Trinity
Course materials
Course book
Studying the transcriptome.
Instructors
- Burkhard Steuernagel
Audience
Any Staff or Student who has an interest in bioinformatics and intends to conduct RNA-Seq analysis.Overview
RNA-Seq allows to study the transcriptoe of organisms. Several applications of RNA-Seq include measuring expression levels of genes, gene annotation or the interrogation of the gene space as a complexity. This course teaches to process RNA Seq data from receiving raw sequence files to getting expression values for genes.Schedule
Day1
| 09:30 | Introduction to Linux |
| 10:30 | Design of RNA Seq experiments |
| 11:30 | Aligning RNA Seq reads to a genomic reference |
| 13:00 | Expression values |
| 14:00 | A de novo transcriptome assembly using Trinity |
Learning outcomes
By the end of the course you should be able to:- By the end of the course you should be able to
Pre-requisites
The course will make use of a linux environment and a command line. Although this will briefly be introduced, basic knowlege of linux is advantagous. This course follows RNA-Seq part I, and attendees need to have followed that course or have equivalent knowledge of the early stages of RNA-Seq analysis.Full course syllabus
- Introduction to Linux
- Design of RNA Seq experiments
- Aligning RNA Seq reads to a genomic reference
- Expression values
- A de novo transcriptome assembly using Trinity