Advanced RNA-Seq and ChiP-Seq Data Analysis Course 2012

Date:

  Tuesday 1 May 2012

Application deadline: 

Tuesday 06 March 2012

Contact: 

Johanna Langrish

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 familiarize 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
Day 1 - Tuesday 01 May 2012 - Alignment
12:30 - 13:00 Registration
13:00 - 14:00 Understanding the high-throughput sequencing data analysis workflow (Angela Goncalves & Mar Gonzalez-Porta)
14:00 - 15:45 Practical - (Angela Goncalves & Mar Gonzalez-Porta)
15:45 - 16:00 Coffee break
16:00 - 17:15 Lecture - Mapping strategies for sequence reads - (Ernest Turro)
Day 2 - Wednesday 02 May 2012 - Sequence Manipulation and Basic Statistics
09:00 - 11:00 Lecture - Statistical concepts and methodologies for data analyses - (Benilton Carvalho)
11:00 - 11:15 Coffee Break
11:15 -12:30 Practical - Statistical concepts and methodologies for data analyses - (Benilton Carvalho)
12:30 - 13:30 Lunch
13:30 - 14:15
Lecture: (Angela Goncalves & Mar Gonzalez-Porta)
14:15 - 14:45 Lecture: Haplotype and isoform level expression estimation - (Ernest Turro)
14:45 - 15:15
Lecture: Normalising RNA-Seq Data - (Ernest Turro)
15:15 - 15:30 Coffee Break
15:30 - 17:30 Practical: (Angela Goncalves, Mar Gonzalez-Porta & Ernest Turro)
Day 3 - Thursday 03 May 2012 - RNA-Seq
09:30 - 10:30 Lecture: Introduction to RNA-Seq data and analysis - (John Marioni)
10:30 - 10:45 Coffee Break
10:45 - 12:00 Lecture: Differential expression in count data - (Thomas J. Hardcastle)
12:00 - 13:00 Lunch
13:00 - 15:15 Practical: Differential expression in count data - (Thomas J. Hardcastle)
15:15 - 15:30 Coffee Break
15:30 - 17:30 Lecture: Archiving RNA-Seq data (Gabriella Rustici)
Day 4 - Friday 04 May 2012 - ChIP-Seq
09:00 - 09:45 Lecture: Introduction to ChIP-Seq data and analysis - (Bori Gerle & Kathi Zarnack)
09:45 - 10:30 Lecture: ChIP-Seq data analysis with Bioconductor - (Bori Gerle & Kathi Zarnack)
10:30 - 10:45 Coffee Break
10:45 - 12:30 Practical: ChIP-Seq -(Bori Gerle & Kathi Zarnack)
12:30 - 13:30 Lunch
13:30 - 14:30 Lecture: Differential analysis of ChIP-Seq data - (Rory Stark)
14:30 - 14:45 Coffee Break
14:45 - 16:00 Practical: Differential analysis of ChIP-Seq data with DiffBind - (Rory Stark)