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  "Title": "'shiny' Application for Population Structure and Ancestry\nAssessments",
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  "Authors@R": "c(\nperson(\"Josue\", \"Chinchilla-Vargas\",\nrole = c(\"aut\",\"cre\"),\nemail = \"josue.chinchilla@ufl.edu\"),\nperson(c(\"Alexander\", \"M.\"), \"Sandercock\",\nrole = \"aut\"),\nperson(\"Breeding Insight Team\",\nrole = \"aut\"))",
  "Description": "Provides a 'shiny' web application developed by the\nBreeding Insight team to support pedigree validation and\nancestry assessment of plant and animal populations. The app\nintegrates Mendelian error analysis, parentage assignment and\ngenetic composition/ancestry methods to help researchers\nevaluate genomic relationships through an accessible, web-based\ninterface without requiring command-line tools. Pedigree\nvalidation, Mendelian error analysis and parentage assignment\nbuild on the 'BIGpopA' package\n(<https://CRAN.R-project.org/package=BIGpopA>) and support\ndiploid and polyploid data. Ancestry estimation uses the sparse\nnon-negative matrix factorization method of Frichot et al.\n(2014) <doi:10.1534/genetics.113.160572> as implemented in the\n'LEA' package by Frichot and Francois (2015)\n<doi:10.1111/2041-210X.12382>. Line and breed composition are\nestimated using the breed composition regression method of\nFunkhouser et al. (2017) <doi:10.2527/tas2016.0003>, extended\nto polyploid species by Sandercock et al. (2025)\n<doi:10.1002/tpg2.70067>.",
  "License": "Apache License (>= 2)",
  "URL": "https://github.com/Breeding-Insight/Familia",
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