workflow4metabolomics/checkformat

Name: checkformat

Owner: Workflow4Metabolomics

Description: Checks the formats of the dataMatrix, sampleMetadata, and variableMetadata files

Created: 2016-07-30 14:03:23.0

Updated: 2016-07-30 14:04:25.0

Pushed: 2018-01-11 17:11:48.0

Homepage: null

Size: 682

Language: R

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

Checking/formatting the sample and variable names of the dataMatrix, sampleMetadata, and variableMetadata files

A Galaxy module from the Workflow4metabolomics infrastructure

Status: Build Status.

Description

Version: 3.0.0
Date: 2018-01-10
Author: Etienne A. Thevenot (CEA, LIST, MetaboHUB, W4M Core Development Team)
Email: etienne.thevenot(at)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
Licence: CeCILL
Reference histories:
W4M00001a_sacurine-subset-statistics, W4M00001b_sacurine_complete, W4M00002_sacurine_mtbls2, W4M00003_sacurine_diaplasma
Funding: Agence Nationale de la Recherche (MetaboHUB national infrastructure for metabolomics and fluxomics, ANR-11-INBS-0010 grant)

Installation
Tests

The code in the wrapper can be tested by running the runit/checkformat_tests.R R file

You will need to install RUnit package in order to make it run:

all.packages('RUnit', dependencies = TRUE)
Working example

See the W4M00001a_sacurine-subset-statistics, W4M00001b_sacurine-complete, W4M00002_mtbls2, or W4M00003_diaplasma shared histories in the Shared Data/Published Histories menu (https://galaxy.workflow4metabolomics.org/history/list_published)

News
CHANGES IN VERSION 3.0.0

NEW FEATURES

CHANGES IN VERSION 2.0.4

INTERNAL MODIFICATION

CHANGES IN VERSION 2.0.2

INTERNAL MODIFICATION


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.