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Commit e3d024b7 authored by GUILMINEAU Camille's avatar GUILMINEAU Camille
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Add data documentation

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#' @details The raw dataset have been made available on MetaboLights (with the
#' id MTBLS422 \url{https://www.ebi.ac.uk/metabolights/editor/MTBLS422}) by
#' [Choo \emph{et al.}, 2017]. Metabolites quantifications were obtained
#' based on the raw signal using \link[ASICS] package. Pathways were obtained
#' using \link[KEGGREST] package. The datasets provided for the example
#' based on the raw signal using \code{ASICS} package. Pathways were obtained
#' using \code{KEGGREST} package. The datasets provided for the example
#' are a subset of the original dataset.
#'
#' @references Choo J. M., Kanno T., Zain N. M. M., Leong L. E. X.,
......@@ -47,6 +47,6 @@
#' Tenenbaum D., Maintainer B. (2022). KEGGREST: Client-side REST access to the
#' Kyoto Encyclopedia of Genes and Genomes (KEGG). R package version 1.38.0.
#'
NULL
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{MTBLS422}
\alias{MTBLS422}
\title{Dataset "MTBLS422"}
\format{
3 datasets are provided: \itemize{
\item \code{quantif}: a data frame with 10 rows (metabolites name) and 11
columns (samples id), which corresponds to the metabolites quantifications
in the samples.
\item \code{pathways}: a data frame with 11 rows and 4 columns, which
contains informations about pathways and their metabolites.
\item \code{design}: a data frame with 11 rows (samples id) and 4 columns
(id and effects to be added in the model).
}
}
\description{
Metabolites quantifications, associated metabolic pathways and
experimental design to characterize the effects of two clinically important
antibiotic treatments, ciprofloxacin and vancomycin-imipenem on mice.
}
\details{
The raw dataset have been made available on MetaboLights (with the
id MTBLS422 \url{https://www.ebi.ac.uk/metabolights/editor/MTBLS422}) by
[Choo \emph{et al.}, 2017]. Metabolites quantifications were obtained
based on the raw signal using \code{ASICS} package. Pathways were obtained
using \code{KEGGREST} package. The datasets provided for the example
are a subset of the original dataset.
}
\references{
Choo J. M., Kanno T., Zain N. M. M., Leong L. E. X.,
Abell G. C. J., Keeble J. E., Bruce K. D., Mason A. J., Rogers G. B. (2017).
Divergent relationships between fecal microbiota and metabolome following
distinct antibiotic-induced disruptions. \emph{mSphere}, \strong{2}(1)
\url{https://doi.org/10.1128/msphere.00005-17}
Lefort G., Liaubet L., Canlet C., Tardivel P., Père M.C., Quesnel H.,
Paris A., Iannuccelli N., Vialaneix N. Servien R. (2019). ASICS: an R
package for a whole analysis workflow of 1D 1H NMR spectra.
\emph{Bioinformatics}, \strong{35}(21): 4356–4363.
\url{https://doi.org/10.1093/bioinformatics/btz248}
Tardivel P., Canlet C., Lefort G., Tremblay-Franco M., Debrauwer L.,
Concordet D., Servien R. (2017). ASICS: an automatic method for
identification and quantification of metabolites in complex 1D 1H NMR
spectra. \emph{Metabolomics}, \strong{13}(10): 109.
\url{https://doi.org/10.1007/s11306-017-1244-5}
Tenenbaum D., Maintainer B. (2022). KEGGREST: Client-side REST access to the
Kyoto Encyclopedia of Genes and Genomes (KEGG). R package version 1.38.0.
}
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