# HG changeset patch # User sarahinraauzeville # Date 1513854371 18000 # Node ID f8c679b638160de269f61be487da4843db0a22c3 # Parent efe8a7d706f50138d468b6fd502f2fe9a351aab8 New xml version diff -r efe8a7d706f5 -r f8c679b63816 sm_Tax4Fun.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/sm_Tax4Fun.xml Thu Dec 21 06:06:11 2017 -0500 @@ -0,0 +1,124 @@ + + + predicts the functional or metabolic capabilities of microbial communities based on 16S data samples + sm_Tax4Fun.pl + --input $input + --out $output + --reference $reference + + + + + + + + + + + + + + +.. class:: infomark + +PLEASE READ THIS MANUAL TO USE TAX4FUN: http://genoweb.toulouse.inra.fr/~formation/GALAXY_news/howto3_Tax4Fun.pdf + +.. image:: ${static_path}/images/tax4fun_wf.png + + +Complete ready-to-use workflow available here : http://genoweb.toulouse.inra.fr/~formation/GALAXY_news/Galaxy-Workflow-Workflow_constructed_from_history__TAX4FUN_.ga + +Pipeline: + + + This pipeline is used after FROGS pipeline. + + A- First, convert BIOM file result of FROGS in standard BIOM thanks to the following Galaxy tool : « FROGS BIOM to std BIOM Converts a FROGS BIOM in fully compatible BIOM. (Galaxy Version 1.1.0) » + + B- Then convert standard BIOM file in TSV file with « FROGS BIOM to TSV Converts a BIOM file in TSV file. (Galaxy Version 2.1.0) » tool. + + C- Select only 2 columns: abundance totale and taxonomy. To recover these data from the previous dataset, you can use « Cut columns from a table (Galaxy Version 1.0.2) » to generate 2 files: one file with Taxonomy and another with abundance_sum. The tool « Paste two files side by side (Galaxy Version 1.0.0) » paste these 2 files in one (first column: abundance, second column: taxonomy). + + .. image:: ${static_path}/images/tax4fun_inputfile.png + + E- Then « Tax4Fun predicts the functional or metabolic capabilities of microbial communities based on 16S data samples (Galaxy Version 1.0.0) » sort data, rewrite taxonomy, sum abundance for the same taxonomy. + +Warning: The only available reference is SILVA123. + + +.. class:: infomark + + +Package Tax4Fun : Prediction of functional profiles from amplicon-data + + +Description: + + Prediction of functional and metabolic profiles from amplicon-data using the Tax4Fun approach + +Usage: + + Tax4Fun(Tax4FunInput, folderReferenceData, fctProfiling = TRUE, refProfile = "UProC", shortReadMode = TRUE, normCopyNo = TRUE) + +Arguments: + + Tax4FunInput: (required): list containing the OTU table and sample names, e.g. imported with the functions ‘importQIIMEBiomData’, ‘importQIIMEData’, or ‘importSilvaNgsData’ folderReferenceData: (required): a character vector with one character string indicating the folder location of the unzipped reference data. + + +Details: + + Tax4Fun predicts the functional and metabolic capabilities of microbial communities based on 16S data samples. Tax4Fun provides a good functional approximation to functional profiles obtained through metagenome sequencing. Tax4Fun can be used as a first instance functional profiling tool for an estimate of the functional capabilities of microbial communities based on amplicon data. Tax4Fun is applicable to output as obtained through the SILVAngs web server or the application of QIIME against the SILVA database. + +Value: + + A list containing the predicted functional or metabolic profiles and the FTU statistics + + +Author(s) Tax4Fun: + + Kathrin P. Asshauer email: kathrin@gobics.de + +Author(s) Galaxy Wrapper Tax4Fun: + + Sigenae Team. + + +References: + + http://gobics.de/kathrin/Tax4Fun/Tax4Fun.html + + + +--- + +Version Galaxy Tool : V1.0.1 + +--- + +Contacts : support.sigenae@inra.fr + + E-learning available : http://genoweb.toulouse.inra.fr/~formation/GALAXY_news/howto3_Tax4Fun.pdf + +Please cite : + + Depending on the help provided you can cite us in acknowledgements, references or both. + + Example of acknowledgements: We wish to thank SIGENAE group and UMR-1280 PhAN Inra-Universite de Nantes. + + Example of references : X. SIGENAE [http://www.sigenae.org/] + + +