recipe bioconductor-adductomicsr

Processing of adductomic mass spectral datasets






Processes MS2 data to identify potentially adducted peptides from spectra that has been corrected for mass drift and retention time drift and quantifies MS1 level mass spectral peaks.

package bioconductor-adductomicsr

(downloads) docker_bioconductor-adductomicsr



depends bioconductor-adductdata:


depends bioconductor-annotationhub:


depends bioconductor-experimenthub:


depends bioconductor-mzr:


depends r-ade4:


depends r-base:


depends r-bootstrap:


depends r-data.table:


depends r-dosnow:


depends r-dplyr:


depends r-dt:


depends r-fastcluster:


depends r-foreach:


depends r-fpc:


depends r-orgmassspecr:


depends r-pastecs:


depends r-pracma:


depends r-rcppeigen:


depends r-reshape2:


depends r-rvest:


depends r-smoother:


depends r-zoo:




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 bioconductor-adductomicsr

and update with::

   mamba update bioconductor-adductomicsr

To create a new environment, run:

mamba create --name myenvname bioconductor-adductomicsr

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-adductomicsr/tags`_ for valid values for ``<tag>``)

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