eRah specifications

Information


Unique identifier OMICS_23157
Name eRah
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 3.0, GNU General Public License version 2.0
Computer skills Advanced
Version 1.1.0
Stability Stable
Requirements
methods, R(≥2.10), Rcpp, quantreg, R.rsp, igraph, XML, mzR, ncdf4, nnls, signal
Maintained Yes

Download


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Versioning


No version available

Documentation


Maintainers


  • person_outline Xavier Domingo-Almenara
  • person_outline Oscar Yanes

Publication for eRah

eRah citation

library_books

From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics

2017
GigaScience
PMCID: 5499862
PMID: 28520864
DOI: 10.1093/gigascience/gix037

[…] en compared with other processing types. Maui-VIA [] implements a graphical interface that facilitates visual inspection of identifications and alignments, providing faster interaction with the data. eRah [] is an R tool that integrates a novel spectral deconvolution method using multivariate techniques based on blind source separation, alignment of spectra across samples without the need of inter […]

eRah institution(s)
Metabolomics Platform, Department of Electronic Engineering (DEEEA), Universitat Rovira i Virgili, Tarragona, Spain; Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain; Institut de Recerca Pediàtrica, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain; B2SLab, Center for Biomedical Engineering Research (CREB), CIBERBBN, Department of ESAII, Universitat Politècnica de Catalunya, Barcelona, Spain
eRah funding source(s)
Supported by MINECO grant TEC2012-31074 and TEC2015-69076-P, TEC2013-44666-R and TEC2014-60337-R and SAF2011-30578 and BFU2014-57466; by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement (No. 660034); by the Martí i Franquès grant from URV (2012BPURV-43) for the financial support.

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