EMBO Practical Course Bioinformatics and statistics for large-scale data - China

Date:

  Sunday 17 November 2013

Application deadline: 

Friday 20 September 2013

Registration closed

Overview

This international advanced course will provide training on bioinformatics and statistics methods for genomic research. It will give insight into how biological knowledge can be generated from high-throughput sequencing (DNA-Seq, RNA-seq, ChIP-seq) experiments and will illustrate how to analyze such data. The course covers both the underlying statistical and algorithmic concepts, and the practice of how to automate and code such analyses using the scripting language R.

The course will be a mix of lectures and hands-on training. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of data under the guidance of the lecturers and teaching assistants. The course will also teach the basics of the R/Bioconductor environment for statistical-bioinformatic data analysis.

The course is aimed at PhD students, postdocs and interested faculty. The teaching language will be English. Basic experience in computer programming (writing scripts) is required.

Specific topic areas include:

  • DNA variant calling
  • differential expression
  • quality control
  • statistical significance tests and multiple testing, pathway enrichment analyses
  • clustering and classification (machine learning)
  • working with genome annotation
  • using R and Bioconductor

Additional information

Travel Grants

A limited number of travel grants are available for eligible participants who are selected to attend EMBO Practical Courses. The aim of these grants is to facilitate the participation of those coming from labs located in countries in need of scientific strengthening.

These grants are designed to cover travel (Apex / Economy) to attend the practical course. (Visa costs, accommodation and subsistence will not be covered by these funds).

Priority is given to participants working in labs in: Croatia, Czech Republic, Cyprus, Estonia, Greece, Hungary, Israel, Poland, Portugal, Slovakia, Slovenia, and Turkey.

Travel grants may also be provided to participants working in labs in the following: Africa, Asia (excluding Japan, Singapore, and Korea) South and Central America, Albania, Armenia, Azerbaijan, Bulgaria, Belarus, Bosnia and Herzegovina, Bulgaria, Georgia, Kazakhstan, Kosovo, Kyrgyzstan, Lithuania, Macedonia, Malta, Moldova, Montenegro, Romania, Russia, Serbia, and Ukraine.

 

Further details regarding this course can be found here: http://events.embo.org/13-large-scale-data/index.html

Programme

Time Topic Trainer
Sunday 17 November
18:00 Arrival and registration  
19:00 Welcome Dinner & Poster Session  
Monday 18 November
 08:40 Registration  
 08:50 Course overview Wolfgang Huber, Doris Yang, Yolanda Zheng
 09:00 Lecture: RNA-Seq, ChiP-Seq, DNA-Seq intro: what are the data analytic challenges?  Gabriella Rustici, Wolfgang Huber 
 10:00 Coffee break  
 10:30 Lecture: Introduction to R Wolfgang Huber 
 11:30 Lecture: Introduction to Bioconductor  Martin Morgan
 12:30 Lunch  
 14:00 Practical Session: Basics of R  Bo Wen 
 17:00 Flashlight talks by participants (4 x 7 min)   
 17:30 Dinner  
Tuesday 19 November
 09:00 Lecture: RNA-Seq & differential expression part I  Wolfgang Huber  
 10:00 Coffee break   
 10:30 Lecture: ChIP-Seq  Gabriella Rustici 
 11:30 Lecture: Leveraging Annotation and Data Integration  Martin Morgan 
 12:30  Lunch  
 14:00 Practical session: Differential expression with DESeq and DEXSeq   
 17:00 Flashlight talks by participants (4 x 7 min)   
 17:30 Dinner  
Wednesday 20 November
 09:00 Lecture: Ranges-based computations  Martin Morgan  
 10:00 Coffee break    
 10:30 Lecture: Elements of Statistics: t-test and linear model  Wolfgang Huber 
 11;30 tbc Gabriella Rustici  
 12:30 Lunch  
 14:00 Practical Session: ChIP-Seq, Ranges, Annotation   
 17:00 Flashlight talks by participants (4 x 7 min)    
 17:30 Dinner  
Thursday 21 November
 09:00 Lecture: RNA-Seq & differential expression part II  Wolfgang Huber  
 10:00 Coffee break  
 10:30 Lecture: Gene set enrichment methods (tbc)  Martin Morgan   
 11:30 Lecture: Pathway analysis (tbc)  Gabriella Rustici   
 12:30 Lunch  
 14:00 Lecture: DNA-variant calling including plant and ani  Xin Liu
 15:00 Coffee break  
 15:30 Practical Session: DNA-variant calling  Xin Liu 
 17:00 Flashlight talks by participants (4 x 7 min)     
 17:30 Dinner   
Friday 22 November
 09:00 Lecture: High-Quality Data Visualisation  Gabriella Rustici, Wolfgang Huber  
 10:00 Coffee break Martin Morgan 
 10:30 Lecture: Methods for reproducible research (tbc)   
 11:30 Lecture: Basics of Machine Learning  Gang Chen
 12:30 Lunch  
 14:00 Practical session: Basics of Machine Learning  
 17:00 Wrap up and departure