Name: metaMS
Owner: Workflow4Metabolomics
Description: Processing GC-MS data with metaMS in Galaxy
Created: 2016-05-22 19:09:13.0
Updated: 2016-07-11 09:59:46.0
Pushed: 2017-11-08 12:57:49.0
Homepage: null
Size: 24255
Language: HTML
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The Workflow4Metabolomics, W4M in short, is a French infrastructure offering software tool processing, analyzing and annotating metabolomics data. It is based on the Galaxy platform.
MS-based metabolomics data processing and compound annotation pipeline.
Author: Ron Wehrens [aut, cre] (author of GC-MS part), Pietro Franceschi [aut] (author of LC-MS part), Nir Shahaf [ctb], Matthias Scholz [ctb], Georg Weingart [ctb] (development of GC-MS approach), Elisabete Carvalho [ctb] (testing and feedback of GC-MS pipeline)
Maintainer: Ron Wehrens
Citation (from within R, enter citation(“metaMS”)):
Wehrens R, Weingart G and Mattivi F (2014). ?metaMS: An open-source pipeline for GC-MS-based untargeted metabolomics.? J. Chrom. B, 966, pp. 109-116.
Homepage: https://github.com/Bioconductor-mirror/metaMS/
Galaxy is an open, web-based platform for data intensive biomedical research. Whether on the free public server or your own instance, you can perform, reproduce, and share complete analyses.
Homepage: https://galaxyproject.org/
Conda is package manager that among many other things can be used to manage Python packages.
install miniconda2
p://conda.pydata.org/miniconda.html
install the metaMS R library using conda:
a install bioconductor-metams bioconductor-xcms r-batch
set an environment:
a create -n bioconductor-metams bioconductor-metams bioconductor-xcms r-batch
activate the environment:
tivate bioconductor-metams
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Planemo test using conda: passed