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Bioinformatics Tools and Lessons from the Canadian Cattle Genome Project

Thursday, August 21, 2014: 4:00 PM
Bayshore Grand Ballroom A (The Westin Bayshore)
Paul Stothard , University of Alberta, Edmonton, AB, Canada
Xiaoping Liao , University of Alberta, Edmonton, AB, Canada
Adriano S Arantes , University of Alberta, Edmonton, AB, Canada
Mary De Pauw , University of Alberta, Edmonton, AB, Canada
Colin Coros , Delta Genomics Centre, Edmonton, AB, Canada
Graham S. Plastow , University of Alberta, Edmonton, AB, Canada
Stephen S. Moore , University of Alberta, Edmonton, AB, Canada
Stephen P Miller , AgResearch, Invermay, Mosgiel, New Zealand
Recorded Presentation (mp4)
Abstract Text: The Canadian Cattle Genome Project is working to deliver benefits to cattle producers and consumers through large-scale sequencing, genotyping and imputation. More than 300 animals from a total of 10 populations have been sequenced at an average coverage of 10X, and over 10,000 animals have been genotyped. In this paper we describe the methods and tools we used to effectively address the data management, data analysis, and quality control issues that face a project of this scale. We expect that our approaches and experiences will be helpful in the planning and execution of future large-scale genomics projects in agriculture involving academic and industry partners.

Keywords:

genomics data

sequencing

genotyping

storage

computation

See more of: Symposium: Methods and Tools - Bioinformatics (1)
See more of: Methods and Tools: Bioinformatics
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