mirror of https://github.com/msberends/AMR.git
52 lines
3.8 KiB
R
52 lines
3.8 KiB
R
% Generated by roxygen2: do not edit by hand
|
|
% Please edit documentation in R/data.R
|
|
\docType{data}
|
|
\name{microorganisms.old}
|
|
\alias{microorganisms.old}
|
|
\title{Data set with previously accepted taxonomic names}
|
|
\format{A \code{\link{data.frame}} with 14,506 observations and 4 variables:
|
|
\describe{
|
|
\item{\code{col_id}}{Catalogue of Life ID}
|
|
\item{\code{tsn_new}}{New Catalogue of Life ID}
|
|
\item{\code{fullname}}{Old taxonomic name of the microorganism}
|
|
\item{\code{ref}}{Author(s) and year of concerning scientific publication}
|
|
}}
|
|
\source{
|
|
[3] Catalogue of Life: Annual Checklist (public online database), \url{www.catalogueoflife.org}.
|
|
}
|
|
\usage{
|
|
microorganisms.old
|
|
}
|
|
\description{
|
|
A data set containing old (previously valid or accepted) taxonomic names according to the Catalogue of Life. This data set is used internally by \code{\link{as.mo}}.
|
|
}
|
|
\section{Catalogue of Life}{
|
|
|
|
\if{html}{\figure{logo_col.png}{options: height=60px style=margin-bottom:5px} \cr}
|
|
This package contains the complete taxonomic tree of almost all microorganisms from the authoritative and comprehensive Catalogue of Life (\url{http://www.catalogueoflife.org}). This data is updated annually - check the included version with \code{\link{catalogue_of_life_version}}.
|
|
|
|
Included are:
|
|
\itemize{
|
|
\item{All ~55,000 (sub)species from the kingdoms of Archaea, Bacteria, Protozoa and Viruses}
|
|
\item{All ~3,000 (sub)species from these orders of the kingdom of Fungi: Eurotiales, Onygenales, Pneumocystales, Saccharomycetales and Schizosaccharomycetales. The kingdom of Fungi is a very large taxon with almost 300,000 different (sub)species, of which most are not microbial (but rather macroscopic, like mushrooms). Because of this, not all fungi fit the scope of this package and including everything would tremendously slow down our algorithms too. By only including the aforementioned taxonomic orders, the most relevant (sub)species are covered (like all species of \emph{Aspergillus}, \emph{Candida}, \emph{Pneumocystis}, \emph{Saccharomyces} and \emph{Trichophyton}).}
|
|
\item{All ~15,000 previously accepted names of included (sub)species that have been taxonomically renamed}
|
|
\item{The complete taxonomic tree of all included (sub)species: from kingdom to subspecies}
|
|
\item{The responsible author(s) and year of scientific publication}
|
|
}
|
|
|
|
The Catalogue of Life (\url{http://www.catalogueoflife.org}) is the most comprehensive and authoritative global index of species currently available. It holds essential information on the names, relationships and distributions of over 1.6 million species. The Catalogue of Life is used to support the major biodiversity and conservation information services such as the Global Biodiversity Information Facility (GBIF), Encyclopedia of Life (EoL) and the International Union for Conservation of Nature Red List. It is recognised by the Convention on Biological Diversity as a significant component of the Global Taxonomy Initiative and a contribution to Target 1 of the Global Strategy for Plant Conservation.
|
|
|
|
The syntax used to transform the original data to a cleansed R format, can be found here: \url{https://gitlab.com/msberends/AMR/blob/master/reproduction_of_microorganisms.R}.
|
|
}
|
|
|
|
\section{Read more on our website!}{
|
|
|
|
\if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
|
|
On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
|
|
}
|
|
|
|
\seealso{
|
|
\code{\link{as.mo}} \code{\link{mo_property}} \code{\link{microorganisms}}
|
|
}
|
|
\keyword{datasets}
|