RNA-Seq and ChIP-seq Data Analysis

Date:

  Wednesday 9 July 2014

Application opens: 

Tuesday 20 May 2014

Application deadline: 

Friday 06 June 2014

Contact: 

Rebecca Greenhaff

Registration closed

Overview

Is it right for me?

This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies and bioinformatics methods in their research. The aim of this course is to familiarise the participants with advanced data analysis methodologies and provide hands-on training on the latest analytical approaches.

What will I learn?

Lectures will give insight into how biological knowledge can be generated from RNA-seq and ChIP-seq experiments and illustrate different ways of analyzing such data Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of RNA-seq and ChIP-seq data under the guidance of the lecturers and teaching assistants. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor.

What will it cover?

The course covers data analysis of RNA-Seq and ChIP-Seq experiments.
Topics will include: alignment, data handling and visualisation, region identification, differential expression, data quality assessment and statistical analysis, using R/Bioconductor.

Programme

Time Topic Trainer
Day 1 - Wednesday 9 July - Introduction to sequencing and ChIP-seq analysis
09:00 - 09:10 Welcome and introduction G. Rustici
09:10 - 10:00 Lecture: Next generation sequencing overview (+exercise) R. Loos/M. Xenophontos
10:00 - 10:15 Tea/coffee break  
10:15 - 10:45 Lecture & Practical: NGS quality control R. Loos/M. Xenophontos
10:45 - 12:00 Lecture & Practical: Sequence alignment R. Loos/M. Xenophontos
12:00 - 13:00 Lunch  
13:00 - 13:30 Lecture: Introduction to ChIP-seq R. Loos/M. Xenophontos
13:30 - 15:00 Practical: ChIP-seq - peak calling and annotation R. Loos/M. Xenophontos
15:00 - 15:15 Tea/coffee break  
15:15 - 17:00 Practical: ChIP-seq - motif analysis R. Loos/M. Xenophontos
17:00 - 17:30 DiXa project overview V. Matser
19:30 Optional Course dinner at Wellcome Trust Centre  
Day 2 - Thursday 10 July - RNA-seq data analysis
09:00 - 10:00 Lecture: Benchmarking of aligners for sequencing data B. Sipos
10:00 - 10:15 Tea/coffee break  
10:15 - 11:30 Lecture: Introduction to RNA-seq M. Kostadima/N. Koelling
11:30 - 12:30 Practical: RNA-seq - Alignment and splice junction identification M. Kostadima/N. Koelling
12:30 - 13:30 Lunch  
13:30 - 14:15 Practical: RNA-seq - Transcriptome assembly M. Kostadima/N. Koelling
14:15 - 15:15 Practical: RNA-seq analysis - Differential expression analysis M. Kostadima/N. Koelling
15:15 - 15:30 Tea/coffee break  
15:30 - 16:00 Practical: RNA-seq analysis - Differential expression analysis M. Kostadima/N. Koelling
16:00 - 17:00 Lecture: On the empirical evaluation of RNA-seq gene profiling pipelines    COURSE FEEDBACK N. Fonseca