Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Binary file added assets/media/asaim/asaim-mt_workflow.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Binary file added assets/media/asaim/ebi_metagenomics_workflow.png
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
21 changes: 19 additions & 2 deletions index-metagenomics.md
Original file line number Diff line number Diff line change
Expand Up @@ -63,6 +63,9 @@ We then developed [several tutorials](https://galaxyproject.github.io/training-m

In this tutorial the Standard Operating Procedure (SOP) for MiSeq data, developed by the creators of the Mothur software package, is perfomed within Galaxy.

- [Metatranscriptomics analysis using microbiome RNA-seq data](https://training.galaxyproject.org/training-material/topics/metagenomics/tutorials/metatranscriptomics/tutorial.html)
Metatranscriptomics analysis enables understanding of how the microbiome responds to the environment by studying the functional analysis of genes expressed by the microbiome. In this tutorial, we will analyze time-series data from a microbial community inside a bioreactor.

# Workflows

To orchestrate tools and help users with their analyses, several [workflows](https://asaim.readthedocs.io/en/latest/workflows.html){:target="_blank"} are available. They formally orchestrate tools in a defined order and with defined parameters, but they are customizable (tools, order, parameters).
Expand All @@ -73,7 +76,7 @@ The workflows are available in the [Shared Workflows](https://metagenomics.usega

The workflow quickly produces, from raw metagenomic or metatranscriptomic shotgun data, accurate and precise taxonomic assignations, wide extended functional results and taxonomically related metabolism information

![](https://asaim.readthedocs.io/en/latest/_images/main_workflow.png)
![ASaiM main workflow](/assets/media/2018-01-17-asaim_main_workflow.png)

This workflow consists of

Expand Down Expand Up @@ -118,10 +121,24 @@ To analyze amplicon data, the **Mothur** and **QIIME** tool suites are available

The tools used in the EBI Metagenomics pipeline are also available here and can be run as a [workflow](https://metagenomics.usegalaxy.eu/u/berenice/w/asaim-ebi-metagenomics-workflow-30){:target="_blank"} with the same steps as the [EBI Metagenomics pipeline (3.0)](https://www.ebi.ac.uk/metagenomics/pipelines/3.0){:target="_blank"}.

![](https://asaim.readthedocs.io/en/latest/_images/ebi_metagenomics_workflow.png)
![EBI Metagenomics Workflow](/assets/media/asaim/ebi_metagenomics_workflow.png)

However, the parameters must be adjusted by the user as we could not find them in the EBI Metagenomics documentation.

## ASaiM-MT: Optimized workflow for metatranscriptomics data analysis
While the shotgun workflow is suitable for both metagenomics and metatranscriptomics datasets, we also offer an enhanced workflow aimed specifically at metatranscriptomics data.

![ASaiM-MT workflow](/assets/media/asaim/asaim-mt_workflow.png){: width="50%"}

The workflow is divided into 4 parts:

1. **Preprocessing** - Process raw metatranscriptomics data to perform further analysis.
2. **Taxonomy Quantitation** - Assignment of taxonomy along with abundance values and visualization.
3. **Functional Quantitation** - metabolic assignment of identified functions and gene and pathway abundance annotation.
4. **Taxonomy-Function Quantitation** - combine taxonomy and functional quantitation values into relative abundance values at different levels such as e.g. the abundance of a pathway between phyla.



# References

{% bibliography --cited --prefix index-metagenomics --group_by none %}
1 change: 1 addition & 0 deletions index-microbiome.md