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GWAS mouse data for Eagle paper
The files used in the real data analyses of the paper entitled "Eagle: Making multiple-locus association mapping on a genome-wide scale routine". The original data comes from Nicod et al. (2016) Nature Genetics who collected SNP dosages (continuous scores from 0 to1). We transformed these dosages into SNP genotypes (0,1,2).
Input files... more suitable for analysis by Eagle. The data were obtained from a large genome-wide association study (GWAS) performed in outbred mice and published on the Heterogeneous Stock Mouse web site. The data were reorganized to make it suitable for input into Eagle.
Genetics not elsewhere classified
Statistics not elsewhere classified
multiple-locus association mapping
The original data was obtained from the Heterogeneous Stock Mouse web site at http://wp.cs.ucl.ac.uk/outbredmice/heterogeneous-stock-mice/. The data required further processing by R scripts to convert the SNP dosages into SNP genotypes.
The Eagle input files were created by Andrew George.
The original data was generated by or with the assistance of: Jerome Nicod, Robert Davies, Na Cai, Carl Hassett, Leo Goodstadt, Cormac Cosgrove, Benjamin K Yee, Vikte Lionikaite, Rebecca E McIntyre, Carol Ann Remme, Elisabeth M. Lodder, Jennifer S. Gregory, Tertius Hough, Russell Joynson, Hayley Phelps, Barbara Nell, Clare Rowe, Joe Wood, Alison Walling, Nasrin Bopp, Amarjit Bhomra, Polinka Hernandez-Pliego, Jacques Callebert, Richard M. Aspden, Nick P Talbot, Peter A Robbins, Mark Harrison, Martin Fray, Jean-Marie Launay, Yigal M. Pinto, David A. Blizard, Connie R. Bezzina, David J Adams, Paul Franken, Tom Weaver, Sara Wells, Steve DM Brown, Paul K Potter, Paul Klenerman, Arimantas Lionikas, Richard Mott & Jonathan Flint
Creative Commons Attribution 4.0 International Licence
George, Andrew (2018): GWAS mouse data for Eagle paper. v2. CSIRO. Data Collection.
All Rights (including copyright) CSIRO 2018.
The metadata and files (if any) are available to the public.
Development of Statistical Methods
Developing statistical methods for detiding hydrographic data
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