Mercurial > repos > galaxyp > mt2mq
changeset 5:c3a418f7cf7f draft
"planemo upload commit 499df83651e020e9106d70ec658edf86355f49d9"
author | galaxyp |
---|---|
date | Wed, 21 Oct 2020 16:39:25 +0000 |
parents | b0de3731dca5 |
children | 02fcbaf4cce5 |
files | READme.md |
diffstat | 1 files changed, 2 insertions(+), 2 deletions(-) [+] |
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--- a/READme.md Wed Oct 21 16:26:01 2020 +0000 +++ b/READme.md Wed Oct 21 16:39:25 2020 +0000 @@ -4,7 +4,7 @@ Description ----------- -In order to enable multi-omics data analysis of microbiome data, the Galaxy-P team has developed a tool – MT2MQ – which processes metatranscriptomics gene families output from ASaiM workflow and converts it to Gene Ontology (GO) or EC terms. The processed metatranscriptomics output can be subsequently used as an input for comparative statistical analysis via [metaQuantome](https://www.mcponline.org/content/18/8_suppl_1/S82) software suite. +In order to enable multi-omics data analysis of microbiome data, the Galaxy-P team has developed a tool – MT2MQ – which processes metatranscriptomics gene families output from [ASaiM](https://training.galaxyproject.org/training-material/topics/metagenomics/tutorials/metatranscriptomics/tutorial.html) workflow and converts it to [Gene Ontology](http://geneontology.org/docs/ontology-documentation/) (GO) or EC terms. The processed metatranscriptomics output can be subsequently used as an input for comparative statistical analysis via [metaQuantome](https://www.mcponline.org/content/18/8_suppl_1/S82) software suite. Authors ------- @@ -46,7 +46,7 @@ - Click on ** For all selected** drop down menu and select **Build Dataset list**. - Once the collection is created, rename the dataset collection as `Input collection`. -2. Download the map_go_uniref50.txt file from zenodo. +2. Download the map_go_uniref50.txt file from [zenodo](https://doi.org/10.5281/zenodo.4115871). 3. Run the **Regroup a HUMAnN2 generated table by features**(Galaxy Version 0.11.1.0) tool is regrouping table features (abundances or coverage) given a table of feature values and a mapping of groups to component features. It produces a new table with group values in place of feature values. - [**Regroup a HUMAnN2 generated table by features**](https://toolshed.g2.bx.psu.edu/repository?repository_id=85391b8d5d7ad39d) with the following parameters: