Aquatic Symbiosis – Specimens to Genomes
Wellcome Genome Campus, UK
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In collaboration with the Wellcome Sanger Institute Tree of Life programme (ToL) and Aquatic Symbiosis Genomics (ASG) project, we are pleased to announce this new course aimed at strengthening genomics and bioinformatics expertise and skills focused on aquatic symbiosis themes.
Symbiosis lies at the heart of the origin of the eukaryotic cell, and more recent symbioses shape much of the diversity of the natural world, playing key roles in ecosystem engineering and in colonisation of extreme habitats such as hydrothermal vents. Biological understanding of symbiosis will be hugely enhanced through the deep analysis of the genomes of the interacting partners, and the Aquatic Symbiosis Genomics project is working globally to generate reference genomes for many symbionts from marine and freshwater habitats.
What will I learn?
To promote use and reuse of these genome data and build a community of researchers able to exploit these new data types, this course will introduce the theory and practice of reference quality genome sequencing and assembly and is open to symbiosis researchers globally.
The course will cover the full arc of a reference genomics project, from sample acquisition and shipping through nucleic acid extraction, sequencing, assembly, curation and annotation in public databases. Using a combination of keynote lectures, technical presentations, hands-on computer workshops and small group work, attendees will learn from researchers at the forefront of the biodiversity genomics revolution and meet with others worldwide who also aim to apply these new approaches to their study systems.
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Mark Blaxter (Wellcome Sanger Institute)
Caroline Howard (Wellcome Sanger Institute)
Michael Quail (Wellcome Sanger Institute)
Sujai Kumar (Wellcome Sanger Institute)
Claudia Weber (Wellcome Sanger Institute)
Marcela Uliano-Silva (Wellcome Sanger Institute)
Shane McCarthy (Wellcome Sanger Institute)
Jo Wood (Wellcome Sanger Institute)
Alan Tracey (Wellcome Sanger Institute)
Fergal Martin (European Bioinformatics Institute)
Victoria McKenna (Wellcome Sanger Institute)