recipe bioconductor-mspurity

Automated Evaluation of Precursor Ion Purity for Mass Spectrometry Based Fragmentation in Metabolomics

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/msPurity.html

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-mspurity/meta.yaml

Links:

biotools: mspurity, doi: 10.1021/acs.analchem.6b04358

msPurity R package was developed to: 1) Assess the spectral quality of fragmentation spectra by evaluating the "precursor ion purity". 2) Process fragmentation spectra. 3) Perform spectral matching. What is precursor ion purity? -What we call "Precursor ion purity" is a measure of the contribution of a selected precursor peak in an isolation window used for fragmentation. The simple calculation involves dividing the intensity of the selected precursor peak by the total intensity of the isolation window. When assessing MS/MS spectra this calculation is done before and after the MS/MS scan of interest and the purity is interpolated at the recorded time of the MS/MS acquisition. Additionally, isotopic peaks can be removed, low abundance peaks are removed that are thought to have limited contribution to the resulting MS/MS spectra and the isolation efficiency of the mass spectrometer can be used to normalise the intensities used for the calculation.

package bioconductor-mspurity

(downloads) docker_bioconductor-mspurity

versions:
1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0, 

1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.20.0-2,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.2-1,  1.16.2-0,  1.16.0-0,  1.14.0-0,  1.12.2-0,  1.12.1-0,  1.12.0-0,  1.10.0-1,  1.8.1-0,  1.8.0-0,  1.5.4-1,  1.5.4-0,  1.4.0-1,  1.4.0-0,  1.3.9-0

depends bioconductor-mzr:

>=2.40.0,<2.41.0

depends bioconductor-mzr:

>=2.40.0,<2.41.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-base:

>=4.4,<4.5.0a0

depends r-dbi:

depends r-dbplyr:

depends r-dosnow:

depends r-dplyr:

depends r-fastcluster:

depends r-foreach:

depends r-ggplot2:

depends r-magrittr:

depends r-plyr:

depends r-rcpp:

depends r-reshape2:

depends r-rsqlite:

depends r-stringr:

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 bioconductor-mspurity

and update with::

   mamba update bioconductor-mspurity

To create a new environment, run:

mamba create --name myenvname bioconductor-mspurity

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 quay.io/biocontainers/bioconductor-mspurity:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-mspurity/README.html)