{ "_id": "6a101603acfb0bcc41c8442c", "Package": "phylter", "Title": "Detect and Remove Outliers in Phylogenomics Datasets", "Version": "0.9.12", "Authors@R": "c(\nperson(\"Damien M.\", \"de Vienne\", role = \"aut\", email = \"damien.de-vienne@univ-lyon1.fr\", comment = c(ORCID = \"0000-0001-9532-5251\")),\nperson(\"Stéphane\", \"Dray\", role = \"aut\", email = \"stephane.dray@univ-lyon1.fr\", comment = c(ORCID = \"0000-0003-0153-1105\")),\nperson(\"Théo\", \"Tricou\", role = \"aut\", email = \"treecou.theo@gmail.com\", comment = c(ORCID = \"0000-0002-4432-2680\")),\nperson(\"Aurélie\", \"Siberchicot\", role = c(\"ctb\", \"cre\"), email = \"aurelie.siberchicot@univ-lyon1.fr\", comment = c(ORCID = \"0000-0002-7638-8318\"))\n)", "License": "GPL (>= 2)", "Description": "Analyzis and filtering of phylogenomics datasets. It takes\nan input either a collection of gene trees (then transformed to\nmatrices) or directly a collection of gene matrices and\nperforms an iterative process to identify what species in what\ngenes are outliers, and whose elimination significantly\nimproves the concordance between the input matrices. The\nmethods builds upon the Distatis approach (Abdi et al. 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