mirror of https://github.com/msberends/AMR.git
37 lines
2.0 KiB
R
37 lines
2.0 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{microorganisms.old}
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\alias{microorganisms.old}
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\title{Data set with old taxonomic data from ITIS}
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\format{A \code{\link{data.frame}} with 2,383 observations and 4 variables:
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\describe{
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\item{\code{tsn}}{Old Taxonomic Serial Number (TSN), as defined by ITIS}
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\item{\code{name}}{Old taxonomic name of the microorganism as found in ITIS, see Source}
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\item{\code{tsn_new}}{New Taxonomic Serial Number (TSN), as defined by ITIS}
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\item{\code{ref}}{Author(s) and year of concerning publication as found in ITIS, see Source}
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}}
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\source{
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[3] Integrated Taxonomic Information System (ITIS) on-line database, \url{https://www.itis.gov}.
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}
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\usage{
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microorganisms.old
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}
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\description{
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A data set containing old (previously valid or accepted) taxonomic names according to ITIS. This data set is used internally by \code{\link{as.mo}}.
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}
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\section{ITIS}{
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\if{html}{\figure{itis_logo.jpg}{options: height=60px style=margin-bottom:5px} \cr}
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This package contains the \strong{complete microbial taxonomic data} (with all seven taxonomic ranks - from subkingdom to subspecies) from the publicly available Integrated Taxonomic Information System (ITIS, \url{https://www.itis.gov}).
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All (sub)species from the \strong{taxonomic kingdoms Bacteria, Fungi and Protozoa are included in this package}, as well as all previously accepted names known to ITIS. Furthermore, the responsible authors and year of publication are available. This \strong{allows users to use authoritative taxonomic information} for their data analysis on any microorganism, not only human pathogens. It also helps to \strong{quickly determine the Gram stain of bacteria}, since all bacteria are classified into subkingdom Negibacteria or Posibacteria.
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ITIS is a partnership of U.S., Canadian, and Mexican agencies and taxonomic specialists [3].
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}
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\seealso{
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\code{\link{as.mo}} \code{\link{mo_property}} \code{\link{microorganisms}}
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}
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\keyword{datasets}
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