Galaxy workflow that uses to convert the16S BIOM file to table and figures.

public public 1yr ago Version: Version 1 0 bookmarks

MetaDEGalaxy

MetaDEGalaxy is a metagenomic analysis tool running on Galaxy platform. There is a number of scripts written in R and python to make up the Galaxy workflow to perform 16S rRNA analysis. The greengenes database is used as a reference database in the MetaDEGalaxy.

References

Mike W. C. Thang, X. Chua, G. Price, Dominique Gorse, Matthew A Field, 2019. Metadegalaxy : Galaxy Workflow For Differential Abundance Analysis Of 16S Metagenomic Data.

Tool

  • PEAR - Paired-End reAd mergeR

  • VSEARCH - It is an alternative to the USEARCH tool

Script dependencies:

  • Biopython (v 1.74)

  • python >=3

  • Bioconductor-phyloseq (v 1.22.3)

  • r-base (v 3.4.1)

  • r-getopt (v 1.20.0)

  • ghostscript (v 9.18)

  • bioconductor-deseq2 (v 1.18.1)

  • r-data.table (v 1.10.0)

Script

  • uc2otutable - a python script to transform UC file format to tabular format. Note: UC file format

  • pear_stats - a python script to generate an overlapping statistic report using the log file generated by PEAR.

  • reheader - a python script to rename the read identifier by appending the sample name to end of the read identifier.

  • phyloseq_richness - a R package phyloseq is used to generate richness plot.

  • phyloseq_abundance_taxonomy - a script using R package phyloseq to generata abundance plot by taxonomy.

  • phyloseq_abundance_factor - a script R using package phyloseq to generate abundance plot by factor.

  • phyloseq_2_deseq2 - a script using R package phyloseq and DESeq2 to generate differential abundance count table.

  • phyloseq_net - a script using R package phyloseq to generate network plot based on the sample distance matrix.

  • symmetric_plot - using ggplot2 to generate a symmetric plot

Ansible script

This ansible script contains all the tools, scripts and Galaxy wrappers for MetaDeGalaxy. It can be used to install on a Galaxy Instance ( GVL 4.1.0 / ubuntu 14.04). More informatin can be found here .

Data

The testing data for MetaDEGalaxy is obtained from mothur website. More information about the dataset can be found on the mothur MiSeq SOP Getting started section.

Tutorial

  • Galaxy workflow tutorial can be found here

Additional python script

One of the python scripts are obtained from USearch . The script uc2otutable.py was modified to run in python3 environment.

Login to post a comment if you would like to share your experience with this workflow.

Do you know this workflow well? If so, you can request seller status , and start supporting this workflow.

Free

Created: 1yr ago
Updated: 1yr ago
Maitainers: public
URL: https://github.com/QFAB-Bioinformatics/metaDEGalaxy
Name: 16s_biodiversity_biom
Version: Version 1
Badge:
workflow icon

Insert copied code into your website to add a link to this workflow.

Downloaded: 0
Copyright: Public Domain
License: None
  • Future updates

Related Workflows

cellranger-snakemake-gke
snakemake workflow to run cellranger on a given bucket using gke.
A Snakemake workflow for running cellranger on a given bucket using Google Kubernetes Engine. The usage of this workflow ...