rna-seq-basics-2020 - Training
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Date: | 06.02.2020 9:00 - 07.02.2020 17:00 |
Location details: | The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available. |
Language: | english-language |
lecturers: |
Maria Lehtivaara Laxmana Yetukuri |
Price: |
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All materials, lunches as well as morning and afternoon coffees are free of charge. |
THE COURSE AND WAIT LIST ARE FULLY BOOKED!
If you have registered to this course and you are not able to attend, please cancel your registration in advance by sending an e-mail to patc@csc.fi
Description
After learning the basics of command line usage, HPC and R/Rstudio, it's time to put your new skills in use and use them in RNA-seq data analysis! This course is aimed at bioscientists who are planning on analysing their RNA-seq data. During the course, we will learn the basic steps in RNA-seq analysis and how to use some of the most common analysis tools on command line and in R.
3.2.2020 Using modern HPC environment efficiently
4.-5.2.2020 Data analysis with R
6.-7.2020 Introduction to RNA-seq data analysis
Learning outcome
After the course, participants:
- can name and discuss the different stages of a basic RNA-seq analysis and common tools used in these steps,
- can run some RNA-seq analysis tools on command line
- import and start analysing their RNA-seq data in R
Prerequisities
The participants are required to have basic skills/knowledge in:
- Command line / Linux basics (example)
- R basics (example)
- Knowledge of current CSC services is considered beneficial (see these course materials)
Bioweek is structured so that this course builds on top of the earlier courses. This means that all the prerequisite skills can be learned on the two courses organised earlier on the same week. If you have no prior knowledge or suspect your knowledge on these subjects, please consider participating in all the three courses.
Thursday 6.2.
9:00 First session: Welcome & Introductions
- Welcome & practicalities
- Intro to RNA-seq
- Intro to RNAseq differential expression analysis
10:00 Coffee break
10:30 Second session: Quality control and preprocessing
- Schedule, materials and pipeline for the course
- Quality control of raw reads (FASTQC, PRINSEQ)
- Preprocessing (Trimmomatic)
12:00 Lunch
13:00 Third session: Alignment
- Indexes for alignment
- Alignment to reference genome (HISAT2)
- Check the strandedness (RseQC infer_experiment.py)
- Alignment level quality control
14:30 Coffee break
15:00 Fourth session: Quantitation, Experimental design, wrap up for the day
- Quantitation (HTSEq)
- Some notes on experimental design
- Wrap up of the day
Friday 7.2.
9:00 First session: Differential expression analysis in R
- Tiny recap of R
- Differential expression analysis (edgeR and DESeq2, in R)
- Experiment level quality control (DESeq2, in R)
10:00 Coffee break
10:30 Second session: Annotations and enrichment analysis
- Annotations (biomaRt, in R)
- Enrichment analysis (enrichR, fgsea, in R)
12:00 Lunch
13:00 Third session: Analysing in Puhti + Allas
- Tiny recap of Puhti
- Batch script
- Allas usage
14:30 Coffee break
15:00 Fourth session: Other topics + wrap up