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  "Title": "Multiple Locus Association Mapping on a Genome-Wide Scale",
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  "Authors@R": "c(\nperson(\"Andrew\", \"George\", role=c(\"aut\", \"cre\"), email=\"geo047@gmail.com\"),\nperson(\"Joshua\", \"Bowden\", role=\"ctb\"),\nperson(\"Ryan\", \"Stephenson\", role=\"ctb\"),\nperson(\"Hyun\", \"Kang\", role=\"ctb\"),\nperson(\"Noah\", \"Zaitlen\", role=\"ctb\"),\nperson(\"Claire\", \"Wade\", role=\"ctb\"),\nperson(\"Andrew\", \"Kirby\", role=\"ctb\"),\nperson(\"David\", \"Heckerman\", role=\"ctb\"),\nperson(\"Mark\", \"Daly\", role=\"ctb\"),\nperson(\"Eleazar\", \"Eskin\", role=\"ctb\") )",
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  "Author": "Andrew George [aut, cre], Joshua Bowden [ctb], Ryan Stephenson\n[ctb], Hyun Kang [ctb], Noah Zaitlen [ctb], Claire Wade [ctb],\nAndrew Kirby [ctb], David Heckerman [ctb], Mark Daly [ctb],\nEleazar Eskin [ctb]",
  "Description": "An implementation of multiple-locus association mapping on\na genome-wide scale. 'Eagle' can handle inbred and outbred\nstudy populations, populations of arbitrary unknown complexity,\nand data larger than the memory capacity of the computer. Since\n'Eagle' is based on linear mixed models, it is best suited to\nthe analysis of data on continuous traits. However, it can\ntolerate non-normal data. 'Eagle' reports, as its findings, the\nbest set of snp in strongest association with a trait. For\nusers unfamiliar with R, to perform an analysis, run\n'OpenGUI()'. This opens a web browser to the menu-driven user\ninterface for the input of data, and for performing genome-wide\nanalysis.",
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