Mercurial > repos > ethevenot > univariate
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planemo upload for repository https://github.com/workflow4metabolomics/univariate.git commit 59a3d6b0634a8bbe682d7b755bbb3735c07548dc
author | ethevenot |
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date | Sat, 30 Jul 2016 12:38:02 -0400 |
parents | ef64d3752050 |
children | 09799fc16bc6 |
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# Univariate parametric and non-parametric hypothesis testing with correction for multiple testing A Galaxy module from the [Workflow4metabolomics](http://workflow4metabolomics.org) project. Status: [![Build Status](https://travis-ci.org/workflow4metabolomics/univariate.svg?branch=master)](https://travis-ci.org/workflow4metabolomics/univariate). ## Description **Version:** 2.1.2 **Date:** 2016-07-30 **Author:** Marie Tremblay-Franco (INRA, MetaToul, MetaboHUB, W4M Core Development Team) and Etienne A. Thevenot (CEA, LIST, MetaboHUB, W4M Core Development Team) **Email:** [marie.tremblay-franco(at)toulouse.inra.fr](mailto:marie.tremblay-franco@toulouse.inra.fr); [etienne.thevenot(at)cea.fr](mailto:etienne.thevenot@cea.fr) **Citation:** Thevenot E.A., Roux A., Xu Y., Ezan E. and Junot C. (2015). Analysis of the human adult urinary metabolome variations with age, body mass index and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses. *Journal of Proteome Research*, **14**:3322-3335. [doi:10.1021/acs.jproteome.5b00354](http://dx.doi.org/10.1021/acs.jproteome.5b00354) **Reference history:** [W4M00001a_sacurine-subset-statistics](http://galaxy.workflow4metabolomics.org/history/list_published), [W4M00004_mtbls1](http://galaxy.workflow4metabolomics.org/history/list_published) **Licence:** CeCILL **Funding:** Agence Nationale de la Recherche ([MetaboHUB](http://www.metabohub.fr/index.php?lang=en&Itemid=473) national infrastructure for metabolomics and fluxomics, ANR-11-INBS-0010 grant) ## Installation * Configuration file: **univariate_config.xml** * Image file: + **static/images/univariate_workflowPositionImage.png** * Wrapper file: **univariate_wrapper.R** * Script file: **univariate_script.R** * R packages + **batch** from CRAN: `install.packages("batch", dep=TRUE)`. + **PMCMR** from Bioconductor: `install.packages("PMCMR", dep=TRUE)`. ## Tests The code in the wrapper can be tested by running the **tests/univariate_tests.R** in R ## News ## CHANGES IN VERSION 2.1.2 * Minor internal changes in .shed.yml for toolshed export ## CHANGES IN VERSION 2.1.1 * Internal handling of 'NA' p-values (e.g. when intensities are identical in all samples).