{ "_id": "6ad004ade2d863f662953a8a", "Package": "clusnalyst", "Title": "Point-and-Click Cluster Analysis of Molecular and Trait Data", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Ebenezer\", \"Ogoe\", , \"ebenezerogoe@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = \"Co-creator; wrote the 2026 package\"),\nperson(\"Michael\", \"Obeng\", role = \"aut\",\ncomment = \"Co-creator of Clusnalyst (2022)\"),\nperson(\"Stephen\", \"Amoako\", role = \"aut\",\ncomment = \"Co-creator of Clusnalyst (2022)\")\n)", "Description": "A 'shiny' application and a set of plain R functions for\nclustering samples from dominant markers, SNP genotypes (CSV,\nVCF or HapMap), quantitative or mixed traits, and DNA or\nprotein sequences. It computes distance matrices, builds trees\nby UPGMA, WPGMA, single, complete or Ward linkage, neighbour\njoining or BIONJ, and checks them with marker bootstrap support\n(Felsenstein 1985 ),\ncophenetic correlation, average silhouette width, the gap\nstatistic and Mantel tests. 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