Finding and accessing human genomic data workshop, 31 March 2017, 1pm-4pm

Peter McGuffin Room, Seminar room F, 3rd floor

Description

Researchers rely on acquiring external data to validate, benchmark and supplement research findings. Funders require researchers to make their datasets accessible for further reuse.

The goal of this workshop is to bring to the fore existing challenges with genomic data access and reuse. We will introduce a number of tools and resources to simplify #dataaccess and #datasharing.

Target audience

• Graduate students, Postdocs and Staff members from Kings College London, Affiliated Institutions and other external Institutions or individuals

About Manuel Corpas

Manuel Corpas – Scientific Lead at Repositive. Manuel has done pioneering work in exploring his personal genome, through direct to consumer genomic testing and online international collaboration. He crowdfunded the DNA sequencing for both himself and his family, and he was the first to publish the complete collection of genomic data for his family online as Open Access. Manuel was previously Project Leader for plant and animal genomes at TGAC (now Earlham Institute), and his earlier roles included Sanger, EBI (European Bioinformatics Institute) and the Spanish National Bioinformatics Centre. Alongside his role at TGAC/Earlham, Manuel was also the ELIXIR-UK Technical Coordinator and board director of the International Society for Computational Biology (ISCB). Read more about Manuel.

Objectives

After this course you should be able to:

• Find all genomics data available for a particular condition (e.g. disease, healthy state, controls, validation studies)
• Understand the most suitable genomics repository for your needs
• Submit data to genomics repositories following best practices

Aims

During this workshop you will learn about:

• Current challenges in data sharing, focusing especially on researchers studying human genomic datasets
• A number of tools and resources for finding, accessing and sharing genomic data: Repositive, EGA (European Genome Phenome Archive), dbGaP, GigaScience, Nature Scientific Data and figshare
• Best practices for using data to power hypothesis testing and maximising research impact