EMBO Practical Course on Metabolomics Bioinformatics for Life Scientists

Date:

 Sunday 14 Friday 19 February 2016

Venue: 

European Bioinformatics Institute (EMBL-EBI) - Wellcome Genome Campus, Hinxton, Cambridge,  CB10 1SD, United Kingdom

Application opens: 

Monday 03 August 2015

Application deadline: 

Friday 13 November 2015

Participation: 

Open application with selection

Registration fee: 

£300 (Includes 6 days accommodation & food)

Registration closed

Overview

This course will provide an overview of key issues that affect metabolomics studies, handling dataset and procedures for the analysis of metabolomics data using bioinformatics tools. It will be delivered using a mixture of lectures, computer-based practical sessions and interactive discussions. The course will provide a platform for discussion of the key questions and challenges in the field of metabolomics, from study design to metabolite identification.

Audience

This course is aimed at PhD students, post-docs and researchers with at least one year’s experience in the field of metabolomics who are seeking to improve their skills in metabolomics data analysis. Participants ideally must have working experience using R (including a basic understanding of the syntax and ability to manipulate objects).

Syllabus, tools and resources

During this course you will learn about:

  • Metabolomics study design, workflows and sources of experimental error, difference between target and un-target approaches.
  • Metabolomics data processing tools: hands on open source R based programs, XCMS, MetFrag, MetFusion, rNMR, BATMAN
  • Metabolomics data analysis: Using R Bioconductor, understanding usage of univariate and multivariate data analysis, data fusion concepts and data clustering
  • Metabolomics downstream analyses: KEGG, BioCyc, MetExplore and Cytoscape for metabolic pathway and network analysis with visualisation of differential expression, understanding metabolomics flux analysis.
  • Metabolomics standards and databases: data dissemination and deposition in EMBL- EBI MetaboLights repository, collection and ever growing metabolomics online resource, COSMOS data standards, MSI

Outcomes

After this course you should be able to:

  • Discuss major principles of metabolomics experimental design and factors that impact upon subsequent analysis
  • Identify strengths and weaknesses in a variety of metabolomics analytical approaches
  • Use a range of Bioinformatics software to pre-process, process and analyse metabolomics data
  • Discuss current trends and challenges in metabolomics 

Programme

Time Topic Trainer
Day 1 - Sunday 14th February
15:30 - 16:00 Arrival and registration 
16:00 - 16:15 Welcome and orientation Tom Hancocks 
16:15 - 17:45 Participant flash presentation  All PArticipants 
17:45 - 19:45 Main poster session with drinks and nibbles All Participants 
20:00 Dinner 
Day 2 - Monday 15th February
08:45- 09:00 Arrival
09:15 - 09:30 Overview of the day and Introduction  Reza Salek
09:30 - 10:30 Metabolomics: from experimental design to data analysis Oscar Yanes  
10:30 - 11:00 Tea/coffee break 
11:00 - 12:30 Dissecting the multidisciplinary nature of an untargeted metabolomics workflow Oscar Yanes 
12:30 - 13:30 Lunch 
13:30 - 15:30 Workflow and experimental design group activity Reza Salek / Oscar Yanes
15:30 - 16:00 Metabolomics standard: Where are we now? Christoph Steinbeck
16:00 - 16:30 Tea/coffee break 
16:30 - 18:00 Metabolomics resources  David Wishart
18:00 - 19:30 Group Discussion  
19:30  Evening meal in Hinxton Hall Restaurant
Day 3 - Tuesday 16th February
08:45 - 09:00 Arrival
09:15 - 09:30 Overview of the day and Introduction Reza Salek 
09:30 - 11:00 Analysis of LC-MS-based metabolomics data: feature detection, grouping, quality control, high-throughput analysis, annotation Pietro Francheschi 
11:00 - 11:30 Tea/coffee break 
11:30 - 12:30 Analysis of LC-MS-based metabolomics data: feature detection, grouping, quality control, high-throughput analysis, annotation Pietro Francheschi 
12:30 - 13:30 Lunch and Poster session 2 
13:30 - 15:00 Ranking and Data filtering metabolic features to identified metabolites Maria Vinaixa 
15:00 - 16:00 The whole story in real-time: data processing and metabolite identification Steffen Neumann
16:00 - 16:30 Tea/coffee break  
16:30 - 18:30 The whole story in real-time: data processing and metabolite identification Steffen Neumann 
18:30 - 19:30 Discussion in groups: LC-MS missing data and metabolite identification challenges  All Participants 
19:30 DEvening meal at Hinxton Hall 
Day 4 - Wednesday 17th February 
08:45 - 09:00 Arrival
09:00 - 09:15 Overview of the day Reza Salek
09:15 - 10:30 GC-MS data analysis workflow and hands-on in metabolomics  Raphael Aggio
10:30 - 11:00 Tea/coffee break 
11:00 - 12:30 GC-MS data analysis workflow and hands-on in metabolomics Raphael Aggio  
12:30 - 14:00 Lunch, Campus tour 
14:00 - 15:30  NMR workflow from data processing to metabolite identification Reza Salek on behalf of Gwenaelle Le Gall 
15:30 - 16:00 Tea/coffee break 
16:00 - 17:30 NMR-based metabolomics data processing and identification using open-source tools  Maria Vinaixa
17:30 - 18:45 MetaboLights and data submission Kalai Vanii Jayaseelan / Reza Salek
19:30 Evening meal at Hinxto Hall Restaurant
Day 5 - Thursday 18th February
08:45 - 09:00 Arrival
09:00 - 09:15 Overview of the day Reza Salek 
09:15 - 10:30 "Simple" statistics        Ron Wehrens
10:30 - 11:00 Tea/coffee break and discussion 
11:00 - 12:30 Multivariate statistics - only the brave... Ron Wehrens 
12:30 - 13:30 Lunch 
13:30 - 15:30 Data Fusion - Part 1 Johan Westerhuis
15:30 - 16:00 Tea/coffee break 
16:00 - 17:30 Fusion problem presentations and discussion All participants
17:30 - 18:20 Using Galaxy workflows for metabolomics (http://workflow4metabolomics.org/) Etienne Thévenot 
18:45 Depart conference centre for course dinner at Cambridge College 
19:30 College dinner  
22:00 Bus to return to the Genome Campus  
Day 6 - Friday 19th February
08:45 - 09:00  Arrival
09:00 - 09:15  Overview of the day  Reza Salek
09:15 - 11:00 Metabolomics flux introduction Marta Cascante / Igor Marin De Mas
11:00 - 11:30 Tea/Coffee break
11:30 - 13:00 Metabolomics flux and genome scale Marta Cascante / Igor Marin De Mas
13:00 - 14:00 Lunch
14:00 - 15:15 Metabolomics data analysis in the context of metabolic networks Fabien Jordan
15:15 - 16:00 Course comments/feedback and Q+A - what we have not covered   
16:00 Departures and bus to Cambridge station