- recipe r-erah
Automated compound deconvolution, alignment across samples, and identification of metabolites by spectral library matching in Gas Chromatography - Mass spectrometry (GC-MS) untargeted metabolomics.
- Homepage:
- License:
GPL-2.0-or-later
- Recipe:
Outputs a table with compound names, matching scores and the integrated area of the compound for each sample. Package implementation is described in Domingo-Almenara et al. (2016) <doi:10.1021/acs.analchem.6b02927>.
- package r-erah¶
- versions:
2.0.1-1,2.0.1-0,2.0.0-0,1.1.2-0- depends libgcc:
>=13- depends libstdcxx:
>=13- depends r-base:
>=4.4,<4.5.0a0- depends r-furrr:
- depends r-future:
- depends r-hiclimr:
- depends r-igraph:
- depends r-osd:
- depends r-progress:
- depends r-quantreg:
- depends r-signal:
- depends r-tibble:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
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 r-erah and update with:: mamba update r-erah
To create a new environment, run:
mamba create --name myenvname r-erah
with
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/r-erah:<tag> (see `r-erah/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/r-erah/README.html)
