- recipe bioconductor-metab
Metab: An R Package for a High-Throughput Analysis of Metabolomics Data Generated by GC-MS.
Metab is an R package for high-throughput processing of metabolomics data analysed by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) (http://chemdata.nist.gov/mass-spc/amdis/downloads/). In addition, it performs statistical hypothesis test (t-test) and analysis of variance (ANOVA). Doing so, Metab considerably speed up the data mining process in metabolomics and produces better quality results. Metab was developed using interactive features, allowing users with lack of R knowledge to appreciate its functionalities.
- package bioconductor-metab¶
- depends bioconductor-xcms:
- depends r-base:
- depends r-pander:
- depends r-svdialogs:
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-metab and update with:: mamba update bioconductor-metab
To create a new environment, run:
mamba create --name myenvname bioconductor-metab
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).
Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-metab:<tag> (see `bioconductor-metab/tags`_ for valid values for ``<tag>``)