Advanced RNA-Seq and ChiP-Seq Data Analysis Course
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Date:
Monday 12 May 2014 - Friday 15 May 2015Venue:
European Bioinformatics Institute (EMBL-EBI) - Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United KingdomParticipation:
Open application with selectionContact:
Frank O’DonnellRegistration fee:
£600Registration closed
Overview
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. 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.
Audience
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. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor.
Syllabus, tools and resources
During this course you will learn about:
- High-throughput sequencing technology
- Quality control of raw reads: FASTQC and fastx toolkit
- Considerations on experiment design for ChIP-seq and RNA-seq
- Read alignment to a reference genome: Bowtie and Tophat
- File format conversion and processing
- Peak calling: MACS, USeq and SISSR
- Motif analysis: MEME
- Quantification of expression and differential expression analysis and differential exon usage: R, DeSeq, DEXSeq
Outcomes
After this course you should be able to:
- Understand the advantages and limitations of the high-throughput assays presented
- Assess the quality of your datasets
- Understand the difference between short read aligners
- Perform alignment and peak calling of ChIP-seq datasets
- Perform alignment and quantification of expression of RNA-seq datasets
Programme
| Time | Topic | Trainer |
|---|---|---|
| Day 1 - Monday 12 May 2014 | ||
| 08:15 - 08:30 | Registration | |
| 08:30 - 09:15 | Overview of the course | Gabriella Rustici |
| 09:15 - 10:15 | Lecture: Introduction to the high-throughput sequencing data analysis workflows, R and Bioconductor. | Nicolas Delhomme |
| 10:15 - 10:30 | Tea/coffee break | |
| 10:30 - 11:30 | Lecture/Practical: Short read representation and manipulation | Nicolas Delhomme |
| 11:30 - 12:30 | Lecture/Practical: Genes and Genomes | Nicolas Delhomme |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 14:00 | Lecture/Practical: Quality Assessment | Nicolas Delhomme |
| 14:00 - 15:00 | Lecture: Mapping strategies for sequence reads | Ernest Turro |
| 15:00 - 15:15 | Tea/coffee break | |
| 15:15 - 17:30 | Practical: Mapping | Ernest Turro |
| 17:30 - 17:45 | HTS workflow recap | Nicolas Delhomme |
| 17:45 | Q&A session | |
| 19:00 | Evening meal | |
| Day 2 - Tuesday 13 May 2014 | ||
| 09:00 - 09:45 | Lecture: Representing and manipulating alignments | Nicolas Delhomme |
| 10:00 - 10:15 | Tea/coffee break | |
| 10:15 - 11:30 | Practical: Representing and manipulating alignments | Nicolas Delhomme |
| 11:30 - 12:30 | Lecture: Estimating expression over genes and exons | Nicolas Delhomme |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 14:30 | Lecture: Estimating expression over genes and exons | Nicolas Delhomme |
| 14:30 - 15:30 | Practical: Recap and/or Advanced Bioconductor usage | Nicolas Delhomme |
| 15:30 - 15:45 | Tea/coffee break | |
| 15:45 - 16:30 | Practical: Recap and/or Advanced Bioconductor usage | Nicolas Delhomme |
| 16:30 - 17:30 | Working without a reference genome | Nicolas Delhomme |
| 17:30 | Q&A session | |
| 19:00 | Evening meal | |
| Day 3 - Wednesday 14 May 2014 | ||
| 09:00 - 10:00 | Lecture: Differential expression | Benilton Carvalho |
| 10:00 - 11:00 | Lecture: Alternative exon usage | Benilton Carvalho |
| 11:00 - 11:15 | Tea/coffee break | |
| 11:15 - 12:30 | Lecture: Multiple testing | Benilton Carvalho |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 15:30 | Practical: Differential expression with RNA seq | Benilton Carvalho |
| 15:30 - 15:45 | Tea/coffee break | |
| 15:45 - 17:30 | Practical: Differential expression with RNA seq (continued) | Benilton Carvalho |
| 17:30 - 17:45 | Q&A session | |
| 17:45 - 18:30 | Lecture: Single Cell sequencing | John Marioni |
| 19:30 | Evening meal | |
| Day 4 - Thursday 15 May 2014 | ||
| 09:00 - 10:00 | Lecture: Introduction to ChIP-Seq data and analysis | Bori Gerle, Alessandra Vigilante & Anna Poetsch |
| 10:00 - 10:30 | Lecture: Peak-callers | |
| 10:30 - 10:45 | Tea/coffee break | Bori Gerle, Alessandra Vigilante & Anna Poetsch |
| 10:45 - 12:30 | Practical: Peak-callers | Bori Gerle, Alessandra Vigilante & Anna Poetsch |
| 12:30 - 13:30 | Lunch | |
| 13:30 - 14:30 | Practical: ChIP-Seq data analysis with Bioconductor | Bori Gerle, Alessandra Vigilante & Anna Poetsch |
| 14:30 - 14:45 | Tea/coffee break | |
| 14:45 - 16:00 | Practical: ChIP-Seq data analysis with Bioconductor | Bori Gerle, Alessandra Vigilante & Anna Poetsch |
| 16:00 | Course feedback and wrap up and delegates to depart | |
