Overview

With the increase in the volume of data across the whole spectrum of biology, more researchers are looking to integrate 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 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.

Syllabus, tools and resources

During this course you will learn about:

• Data standards, curation and ID mapping
• Quality control for data integration
• Analysis and visualistion: Cytoscape, Ondex/QTLNetMiner, InterMine, Open Targets, Omics DI
• Challenges and best practice for working in an integrated manner with genomic, transcriptomic, and proteomic data

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

How to apply

In order to be considered for a place on this course applicants must do the following:

1. Complete the online application form.
2. Submit a word document to frank@ebi.ac.uk containing 1) a short biography including, 2) your work history and 3) description of your current research interests. Each section should be no longer than 100 words.
3. Provide a letter of support from a supervisor or a senior co-worker explaining why you should be selected for this course.

Further details will be provided on your confirmation email after completing the online form.

Incomplete applications will NOT be considered. Please read through the followingguidance document for more information on how to complete your application.