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Hands-on training at EBI - EMBO Practical Course on Analysis of High-Throughput Sequencing Data

Course Summary
Course Details Title: EMBO Practical Course on Analysis of High-Throughput Sequencing Data
Date: 23-29 October 2011
Venue: EMBL-EBI, Hinxton, Nr Cambridge, CB10 1SD, UK
Organisers: Gabriella Rustici
Admin Support: Frank O'Donnell
Registration Opens: 1st June 2011
Registration Deadline: Closed





Course 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: short read alignment using Bowtie/BWA; data handling and visualisation, region identification, differential expression, data quality assessment and statistical analysis, using R/Bioconductor.


Programme

Time Topic
Sun 23 Oct 2011 - Arrive @ Wellcome Trust
Day 1 - Mon 24 Oct 2011 - Short read alignment - Marco Chierici, Marco Roncador
9:00 - 9:30 Registration and welcoming
9:30 - 10:30 Lecture: Next generation sequencing: an overview
10:30 - 11:00 Coffee break
11:00 - 12:30 Lecture: Computational tools, alignment strategies and bioinformatics challenges using Bowtie, BWA, SSAHA2, Cufflinks, SAMTools and BEDTools
12:30 - 13:30 Lunch
13:30 - 17:30 Practical: Short read alignment, analysis and visualization
Day 2 - Tue 25 Oct 2011 - Short read analysis with R & Bioconductor - Nicolas Delhomme
9:00 - 9:30 Lecture: Introduction to R & Bioconductor
9:30 - 10:30 Lecture: Bioconductor packages for Short Read Analysis
10:30 - 11:00 Coffee break
11:00 - 12:30 Lecture/Practical: Bioconductor packages for Short Read Analysis (cont.)
12:30 - 13:30 Lunch
13:30 - 14:30 Lecture/Practical: Bioconductor packages for Short Read Analysis (cont.)
14:30 - 16:30 Lecture/Practical: Bioconductor packages for quality assessment
16:30 - 17:30 Lecture: SNP calling / SNP injecting
Day 3 - Wed 26 Oct 2011 - ChIP-seq data analysis - Kathi Zarnack, Borbala Gerle
9:00 - 10:30 Lecture: Introduction to ChIP-Seq data and analysis (KZ, BG)
10:30 - 11:00 Coffee break
11:00 - 12:30 Lecture: ChIP-seq data analysis with Bioconductor (KZ, BG)
12:30 - 13:30 Lunch
13:30 - 16:30 Practical: ChIP-seq data analysis  (KZ, BG)
16:30 - 18:00 Poster session I
Day 4 - Thu 27 Oct 2011 - RNA-seq data analysis I - Benilton Carvalho
9:00 - 10:30 Lecture: Statistical concepts and methodologies for data analyses
10:30 - 11:00 Coffee break
11:00 - 12:30 Lecture: Statistical concepts and methodologies for data analyses (cont.)
12:30 - 13:30 Lunch
13:30 - 17:30 Practical: tbc
19:00 Dinner at Jesus College, Cambridge
Day 5 - Fri 28 Oct 2011 - RNA-seq data analysis II – John Marioni, Wolfgang Huber
9:00 - 10:00 Lecture: Differential expression - negative binomial based models for testing and regression (WH)
10:00 - 11:00 Lecture: Allele specific expression and eQTL (JM)
11:00 - 11:30 Coffee break
11:30 - 12:30 Lecture: Alternative splicing and differential exon usage (WH)
12:30 - 13:30 Lunch
13:30 - 16:30 Practical: Differential expression (WH)
16:30 - 18:00 Poster session II
Day 6 - Sat 29 Oct 2011 - Data integration, advanced analysis – John Marioni, Wolfgang Huber
9:00 - 10:00 Lecture: Clustering and classification (JM)
10:00 - 11:00 Lecture: Exploring and visualising high-dimensional data (WH)
11:00 - 11:30 Coffe Break
11:30 - 12:30 Q/A and wrap-up session

Course Materials

Day 1
Day 2
Day 3
Day 4
Day 5 + 6


Trainers

Marco Chierici, FBK – MPBA, Trento, Italy
Marco Roncador, FBK – MPBA, Trento, Italy
Nicolas Delhomme, EMBL, Heidelberg
Kathi Zarnack, EBI
Borbala Gerle, EBI
Benilton Carvalho, CRI, Cambridge
Wolfgang Huber, EMBL, Heidelberg
John Marioni, EBI




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