Galaxy-M statistics

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Citations per year

Number of citations per year for the bioinformatics software tool Galaxy-M
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Tool usage distribution map

This map represents all the scientific publications referring to Galaxy-M per scientific context
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Associated diseases

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Popular tool citations

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Galaxy-M specifications

Information


Unique identifier OMICS_30465
Name Galaxy-M
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB, Python
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Requirements
ggplot2, CAMERA, xcms, python, msfilereader, mi-pack
Maintained Yes

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Versioning


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Maintainer


  • person_outline Mark R. Viant

Publication for Galaxy-M

Galaxy-M citations

 (2)
library_books

Navigating freely available software tools for metabolomics analysis

2017
Metabolomics
PMCID: 5550549
PMID: 28890673
DOI: 10.1007/s11306-017-1242-7

[…] orkflows. Although it was originally created for genomics analysis, it is being increasingly used as a general bioinformatics workflow management system. Workflow4metabolomics (Giacomoni et al. ) and Galaxy-M (Davidson et al. ) are Galaxy-based workflows for the analysis of metabolomics data. Workflow4metabolomics (Giacomoni et al. ) encompasses analysis workflows for LC–MS, GC–MS and NMR data, al […]

library_books

Non targeted UHPLC MS metabolomic data processing methods: a comparative investigation of normalisation, missing value imputation, transformation and scaling

2016
Metabolomics
PMCID: 4831991
PMID: 27123000
DOI: 10.1007/s11306-016-1030-9

[…] mber of factors including the structure of the data acquired and the subsequent data analysis techniques applied. A range of tools [e.g. MetaboAnalyst (http://www.metaboanalyst.ca/)], workflows [e.g. Galaxy-M (https://github.com/Viant-Metabolomics/Galaxy-M; Davidson et al. ) and Workflow4Metabolomics (Giacomoni et al. )] and R packages [e.g. mixOmics; http://mixomics.qfab.org] are available to per […]


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Galaxy-M institution(s)
GigaScience, BGI-Hong Kong Co. Ltd, Tai Po Industrial Estate, Tai Po, Hong Kong, China; School of Biosciences, University of Birmingham, Birmingham, UK
Galaxy-M funding source(s)
Supported by grants from the UK Biotechnology and Biological Sciences Research Council (BB/M019985/1), UK Natural Environmental Research Council (NERC; NE/K011294/1), and NERC Biomolecular Analysis Facility at the University of Birmingham (R8- H10-61).

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