{
  "_id": "6a1f32afb401979e73427fcc",
  "Package": "EnvNJ",
  "Type": "Package",
  "Title": "Whole Genome Phylogenies Using Sequence Environments",
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  "Authors@R": "person(given = \"Juan Carlos\",\nfamily = \"Aledo\",\nrole = c(\"aut\", \"cre\"),\nemail = \"caledo@uma.es\",\ncomment = c(ORCID = \"0000-0002-3497-9945\"))",
  "Description": "Contains utilities for the analysis of protein sequences\nin a phylogenetic context. Allows the generation of\nphylogenetic trees base on protein sequences in an\nalignment-independent way. Two different methods have been\nimplemented. One approach is based on the frequency analysis of\nn-grams, previously described in Stuart et al. (2002)\n<doi:10.1093/bioinformatics/18.1.100>. The other approach is\nbased on the species-specific neighborhood preference around\namino acids. Features include the conversion of a protein set\ninto a vector reflecting these neighborhood preferences,\npairwise distances (dissimilarity) between these vectors, and\nthe generation of trees based on these distance matrices.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
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    "User": "root"
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  "Author": "Juan Carlos Aledo [aut, cre]\n(<https://orcid.org/0000-0002-3497-9945>)",
  "Maintainer": "Juan Carlos Aledo <caledo@uma.es>",
  "Config/pak/sysreqs": "libglpk-dev make libicu-dev libxml2-dev zlib1g-dev",
  "Repository": "https://jcaledo.r-universe.dev",
  "Date/Publication": "2021-09-27 09:50:02 UTC",
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  "_updates": [],
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    "msa.tree",
    "ncd",
    "ncdnj",
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    "ngraMatrix",
    "otu.space",
    "otu.vector",
    "svdgram",
    "vcos",
    "vdis",
    "vect2tree",
    "vtree"
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      "object": "bovids",
      "class": [
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      ],
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        "Bos_taurus",
        "Bubalus_bubalis",
        "Bubalus_depressicornis",
        "Bos_grunniens",
        "Bos_indicus",
        "Bos_javanicus",
        "Bos_primigenius",
        "Bison_bison",
        "Bison_bonasus",
        "Pseudoryx_nghetinhensis",
        "Syncerus_caffer"
      ],
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      "table": true,
      "tojson": true
    },
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      "name": "reyes",
      "title": "13 orthologous mtDNA-encoded proteins of 34 mammalian species.",
      "object": "reyes",
      "class": [
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      ],
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        "Pan_troglodytes",
        "Pan_paniscus",
        "Gorilla_gorilla",
        "Pongo_pygmaeus",
        "Hylobates_lar",
        "Papio_hamadryas",
        "Equus_caballus",
        "Equus_asinus",
        "Rhinoceros_unicornis",
        "Ceratotherium_simum",
        "Phoca_vitulina",
        "Halichoerus_grypus",
        "Felis_catus",
        "Canis_lupus",
        "Balaenoptera_physalus",
        "Balaenoptera_musculus",
        "Bos_taurus",
        "Ovis_aries",
        "Sus_scrofa",
        "Hippopotamus_amphibius",
        "Artibeus_jamaicensis",
        "Loxodonta_africana",
        "Orycteropus_afer",
        "Dasypus_novemcinctus",
        "Oryctolagus_cuniculus",
        "Cavia_porcellus",
        "Glis_glis",
        "Rattus_norvegicus",
        "Mus_musculus",
        "Sciurus_vulgaris",
        "Didelphis_virginiana",
        "Macropus_robustus",
        "Ornithorhynchus_anatinus"
      ],
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      "table": true,
      "tojson": true
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      "page": "aa.at",
      "title": "Residue Found at the Requested Position",
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    {
      "page": "aa.comp",
      "title": "Amino Acid Composition",
      "topics": [
        "aa.comp"
      ]
    },
    {
      "page": "aaf",
      "title": "Compute the Frequency of Each Amino Acid in Each Species",
      "topics": [
        "aaf"
      ]
    },
    {
      "page": "bovids",
      "title": "13 orthologous mtDNA-encoded proteins of 11 bovine species.",
      "topics": [
        "bovids"
      ]
    },
    {
      "page": "cos2dis",
      "title": "Convert Cosines Between Vectors into Pairwise Dissimilarities",
      "topics": [
        "cos2dis"
      ]
    },
    {
      "page": "d.phy2df",
      "title": "Convert a Phylip Distance Matrix into a DataFrame",
      "topics": [
        "d.phy2df"
      ]
    },
    {
      "page": "df2fasta",
      "title": "Convert Dataframe into Fasta File",
      "topics": [
        "df2fasta"
      ]
    },
    {
      "page": "env.extract",
      "title": "Sequence Environment Around a Given Position",
      "topics": [
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      ]
    },
    {
      "page": "env.fasta",
      "title": "Build Trees Based on the Environment Around the Indicated Amino Acid(s)",
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      ]
    },
    {
      "page": "env.matrices",
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      ]
    },
    {
      "page": "env.sp",
      "title": "Extract the Sequence Environments",
      "topics": [
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      ]
    },
    {
      "page": "envfascpp",
      "title": "Convert Fasta Files into Environment Vectors",
      "topics": [
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      ]
    },
    {
      "page": "envnj",
      "title": "Build Trees Based on the Environment Around the Indicated Amino Acid(s)",
      "topics": [
        "envnj"
      ]
    },
    {
      "page": "fastaconc",
      "title": "Concatenate Fasta Files in a Single Multispecies Fasta File",
      "topics": [
        "fastaconc"
      ]
    },
    {
      "page": "metrics",
      "title": "Pairwise Vector Dissimilarities",
      "topics": [
        "metrics"
      ]
    },
    {
      "page": "msa.merge",
      "title": "Carry Out a MSA of a Set of Different Orthologous Proteins",
      "topics": [
        "msa.merge"
      ]
    },
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      "title": "Infer a tree based on a MSA",
      "topics": [
        "msa.tree"
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    },
    {
      "page": "ncd",
      "title": "Compute Normalized Compression Distances",
      "topics": [
        "ncd"
      ]
    },
    {
      "page": "ncdnj",
      "title": "Compute a Distance Matrix Using Normalized Compression Distance",
      "topics": [
        "ncdnj"
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    },
    {
      "page": "ngram",
      "title": "Compute n-Gram Frequencies Vector",
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      ]
    },
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      "page": "ngraMatrix",
      "title": "Compute n-Gram Frequencies Dataframe",
      "topics": [
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      "page": "otu.space",
      "title": "Compute the Matrix Representing the Species Vector Subspace",
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