Introduction to Multiomics Data Integration

Date:

 Tuesday 20 Friday 23 February 2018

Venue: 

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

Application opens: 

Friday September 08 2017

Application deadline: 

Friday December 01 2017

Participation: 

Open application with selection

Contact: 

Johanna Langrish

Registration fee: 

£500 - (Including Accommodation)

Registration closed

Find other similar courses »

Overview

With the increase in the volume of data across the whole spectrum of biology, more researchers are looking to integrate omics data of different types to inform hypotheses and biological questions. This may also include public domain data, which can provide added value to data derived through researcher’s own work. This course will provide participants with biological examples of multiomics data integration, and the challenges that researchers face. The course will focus on the use of public data resources and open access tools for enabling integrated working, with an emphasis on data visualisation.

Audience

This course is aimed at biologists who have some experience of working with at least one type of omics data, and computational biologists / bioinformaticians who wish to gain a better understanding of the biological challenges when working with integrated datasets. No programming or command line experience is required to attend this course, but please note this course does not cover statistical approaches for data integration.

Outcomes

At the end of the course you should be able to:

  • Discuss motivations for working in an integrated manner
  • Comprehend the importance of data standards and the collection of metadata
  • Identify challenges for bring different data types together
  • Use a range of bioinformatics tools to integrate and visualise biological data

Programme

Time Topic Trainer
Day 1 - Tuesday 20 February 2018
09:15 - 09:45 Registration and Tea/Coffee  
09:45 - 10:00 Welcome and introduction Melissa Burke
10:00 - 11:00 Introduction to data integration – Why, how, promise and pitfalls Lee Larcombe
11:00 - 11:30 Tea/Coffee Break  
11:30 - 13:00 Group Activity  Brandon Invergo
13:00 - 14:00 Lunch  
14:00 - 15:30 Quality issues – data standards, curation, ontologies and metadata Sandra Orchard
15:30 - 16:00 Tea/Coffee Break   
16:00 - 17:30 A brief introduction to the nature of different data types Tamás Korcsmáros
17:30 - 18:30 Case study – Integration in public resources: UniProt Sangya Pundir, Andrew Nightingale
19:30 Evening Meal  
Day 2 - Wednesday 21 February 2018
09:00 - 10:30 ID Mapping Pablo Porras
10:30 - 11:00 Tea/Coffee Break  
11:00 - 12:00 Omics discovery index Yasset Perez-Riverol
12:00 - 13:00 Lunch  
13:00 - 14:30 Open tools for data integration – hands on example with InterMine Rachel Lyne
14:30 - 15:00 Tea/Coffee Break  
15:00 - 16:00 Open tools for data integration – hands on example with InterMine Rachel Lyne
16:00 - 17:00 Case study: MIMOmics Jeanine Houwing-Duistermaat
18:30 Evening meal  
Day 3 - Thursday 22 February 2018
09:00 - 10:00 Open Targets Denise Carvalho-Silva
10:00 - 10:30 Tea/Coffee Break  
10:30 - 11:30 Open Targets - hands on example Denise Carvalho-Silva
11:30 - 12:30 Metabolomics Thomas Lawson, James Bradbury
12:30 - 13:30 Lunch  
13:30 - 15:30  Metabolomics  Thomas Lawson, James Bradbury
15:30 - 16:00 Tea/Coffee Break  
16:00 - 17:00 Introduction to Networks and Pathways Pablo Porras
17:00 - 18:00 The IMPC: Large-Scale Phenotyping Analysis to Provide insight into Human Disease Terry Meehan 
19:00 Evening Meal  
Day 4 - Friday 23 February 2018
09:00 - 10:30 Hands-on data integration with Cytoscape Pablo Porras, David Fazekas
10:30 - 11:00 Tea/Coffee Break  
11:00 - 12:30 Hands-on data integration with Cytoscape Pablo Porras, David Fazekas
12:30 - 13:30 Lunch  
13:30 - 15:00 Hands-on data integration with Cytoscape Pablo Porras, David Fazekas
15:00 - 15:30 Tea/Coffee Break  
15:30 - 16:00 Course wrap-up and feedback Melissa Burke