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  "Title": "High Density Genetic Linkage Mapping using Multidimensional\nScaling",
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  "Authors@R": "c(person(given = c(\"Katharine\", \"F.\"),\nfamily = \"Preedy\",\nrole = \"aut\",\nemail = \"Katharine.preedy@bioss.ac.uk\"),\nperson(given = c(\"Christine\", \"A.\"),\nfamily = \"Hackett\",\nrole = \"aut\",\nemail = \"christine.hackett@bioss.ac.uk\"),\nperson(given = \"Bram\",\nfamily = \"Boskamp\",\nrole = \"cre\",\nemail = \"bram.boskamp@bioss.ac.uk\"))",
  "Description": "Estimate genetic linkage maps for markers on a single\nchromosome (or in a single linkage group) from pairwise\nrecombination fractions or intermarker distances using weighted\nmetric multidimensional scaling. The methods are suitable for\nautotetraploid as well as diploid populations. Options for\nassessing the fit to a known map are also provided. Methods are\ndiscussed in detail in Preedy and Hackett (2016)\n<doi:10.1007/s00122-016-2761-8>.",
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      "page": "MDSMap-package",
      "title": "High density Genetic Linkage Mapping using Multidimensional Scaling",
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    {
      "page": "calc.maps.pc",
      "title": "Estimate marker positions using Principal Curves",
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      "page": "calc.nswaps",
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    {
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      "title": "Load data, estimate a linkage map and plot diagnostics for the fit.",
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      "page": "get.dist.loci",
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    {
      "page": "lgV.txt",
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