MSeasy specifications

Information


Unique identifier OMICS_30267
Name MSeasy
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 5.3.3
Stability Stable
Requirements
amap, cluster, clValid, tcltk, mzR, xcms, fpc
Source code URL https://cran.r-project.org/src/contrib/MSeasy_5.3.3.tar.gz
Maintained Yes

Versioning


No version available

Documentation


Maintainers


  • person_outline Yann Guitton
  • person_outline Florence Nicole

Publication for MSeasy

MSeasy citation

library_books

Navigating freely available software tools for metabolomics analysis

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

[…] et al. ) and CAMERA (Kuhl et al. ) but is adapted for GC–MS analysis. Unlike XCMS, metaMS performs pseudospectra analysis, avoiding the alignment stage that can be difficult to execute with GC-MS. In MSeasy (Nicolè et al. ), the intensity of each fragment is transformed into a relative percentage of the highest mass fragment per spectrum. Unsupervised clustering methods are then used to group frag […]

MSeasy institution(s)
Université de Lyon, Lyon, France; Université de Saint-Etienne, Saint-Etienne, France; Laboratoire BVpam, Saint-Etienne, France; INRA USTL UMR SADV 1281 Stress Abiotiques et Différenciation des Végétaux Cultivés, Université Lille Nord de France, Lille 1, Villeneuve D’Ascq, France; Station d’écologie expérimentale du CNRS, Moulis, France; Centre d’Ecologie Fonctionnelle et Evolutive UMR 5175, Montpellier, France; Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; CNRS, UMR5557, Ecologie Microbienne, Villeurbanne, France
MSeasy funding source(s)
Supported by GDR d’écologie chimique, Region Rhône-Alpes, University Jean Monnet Saint Etienne, Region Nord-Pas-de-Calais.

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