Mercurial > repos > ethevenot > univariate
comparison README.md @ 2:09799fc16bc6 draft
planemo upload for repository https://github.com/workflow4metabolomics/univariate.git commit 2c0d4d97c208edca1ada2035a7b7af9c4eb31afe
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date | Sat, 06 Aug 2016 12:42:42 -0400 |
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1 # Univariate parametric and non-parametric hypothesis testing with correction for multiple testing | 1 Univariate parametric and non-parametric hypothesis testing with correction for multiple testing |
2 ================================================================================================ | |
2 | 3 |
3 A Galaxy module from the [Workflow4metabolomics](http://workflow4metabolomics.org) project. | 4 A Galaxy module from the [Workflow4metabolomics](http://workflow4metabolomics.org) infrastructure |
4 | 5 |
5 Status: [![Build Status](https://travis-ci.org/workflow4metabolomics/univariate.svg?branch=master)](https://travis-ci.org/workflow4metabolomics/univariate). | 6 Status: [![Build Status](https://travis-ci.org/workflow4metabolomics/univariate.svg?branch=master)](https://travis-ci.org/workflow4metabolomics/univariate). |
6 | 7 |
7 ## Description | 8 ### Description |
8 | 9 |
9 **Version:** 2.1.2 | 10 **Version:** 2.1.4 |
10 **Date:** 2016-07-30 | 11 **Date:** 2016-08-05 |
11 **Author:** Marie Tremblay-Franco (INRA, MetaToul, MetaboHUB, W4M Core Development Team) and Etienne A. Thevenot (CEA, LIST, MetaboHUB, W4M Core Development Team) | 12 **Author:** Marie Tremblay-Franco (INRA, MetaToul, MetaboHUB, W4M Core Development Team) and Etienne A. Thevenot (CEA, LIST, MetaboHUB, W4M Core Development Team) |
12 **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) | 13 **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) |
13 **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) | 14 **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) |
14 **Reference history:** [W4M00001a_sacurine-subset-statistics](http://galaxy.workflow4metabolomics.org/history/list_published), [W4M00004_mtbls1](http://galaxy.workflow4metabolomics.org/history/list_published) | 15 **Reference history:** [W4M00001a_sacurine-subset-statistics](http://galaxy.workflow4metabolomics.org/history/list_published), [W4M00004_mtbls1](http://galaxy.workflow4metabolomics.org/history/list_published) |
15 **Licence:** CeCILL | 16 **Licence:** CeCILL |
16 **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) | 17 **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) |
17 | 18 |
18 ## Installation | 19 ### Installation |
19 | 20 |
20 * Configuration file: **univariate_config.xml** | 21 * Configuration file: `univariate_config.xml` |
21 * Image file: | 22 * Image file: |
22 + **static/images/univariate_workflowPositionImage.png** | 23 + `static/images/univariate_workflowPositionImage.png` |
23 * Wrapper file: **univariate_wrapper.R** | 24 * Wrapper file: `univariate_wrapper.R` |
24 * Script file: **univariate_script.R** | 25 * Script file: `univariate_script.R` |
25 * R packages | 26 * R packages |
26 + **batch** from CRAN: `install.packages("batch", dep=TRUE)`. | 27 + **batch** from CRAN |
27 + **PMCMR** from Bioconductor: `install.packages("PMCMR", dep=TRUE)`. | 28 |
29 ```r | |
30 install.packages("batch", dep=TRUE) | |
31 ``` | |
32 + **PMCMR** from CRAN | |
33 | |
34 ```r | |
35 install.packages("PMCMR", dep=TRUE) | |
36 ``` | |
37 | |
38 ### Tests | |
28 | 39 |
29 ## Tests | 40 The code in the wrapper can be tested by running the `runit/univariate_runtests.R` R file |
30 | 41 |
31 The code in the wrapper can be tested by running the **tests/univariate_tests.R** in R | 42 You will need to install **RUnit** package in order to make it run: |
43 ```r | |
44 install.packages('RUnit', dependencies = TRUE) | |
45 ``` | |
32 | 46 |
33 ## News | 47 ### Working example |
34 | 48 |
35 ## CHANGES IN VERSION 2.1.2 | 49 See the **W4M00001a_sacurine-subset-statistics**, **W4M00001b_sacurine-subset-complete**, **W4M00002_mtbls2**, **W4M00003_diaplasma** shared histories in the **Shared Data/Published Histories** menu (https://galaxy.workflow4metabolomics.org/history/list_published) |
50 | |
51 ### News | |
52 | |
53 ###### CHANGES IN VERSION 2.1.4 | |
54 | |
55 NEW FEATURE | |
56 | |
57 Level names are now separated by '.' instead of '-' previously in the column names of the output variableMetadata table (e.g., 'jour_ttest_J3.J10_fdr' instead of 'jour_ttest_J3-J10_fdr' previously) | |
58 | |
59 INTERNAL MODIFICATION | |
60 | |
61 * Minor internal changes | |
62 | |
63 ###### CHANGES IN VERSION 2.1.2 | |
64 | |
65 INTERNAL MODIFICATION | |
36 | 66 |
37 * Minor internal changes in .shed.yml for toolshed export | 67 * Minor internal changes in .shed.yml for toolshed export |
38 | 68 |
39 ## CHANGES IN VERSION 2.1.1 | 69 ###### CHANGES IN VERSION 2.1.1 |
70 | |
71 INTERNAL MODIFICATION | |
40 | 72 |
41 * Internal handling of 'NA' p-values (e.g. when intensities are identical in all samples). | 73 * Internal handling of 'NA' p-values (e.g. when intensities are identical in all samples). |