Workflow for quality assessment and taxonomic classification of amplicon long read sequences. In addition files are exported to their respective subfolders for easier data management in a later stage.

Inputs are expected to be basecalled fastq files

Steps:

• NanoPlot read quality control, before and after filtering
• fastplong read quality and length filtering
• Emu abundance; species-level taxonomic abundance for full-length 16S read

Classification and visualization of ITS regions.

Associated Tutorial

This workflows is part of the tutorial MGnify v5.0 Amplicon Pipeline, available in the GTN

Features

• Includes a Galaxy Workflow Report
• Uses ...

Quality control subworkflow for paired-end reads.

Associated Tutorial

This workflows is part of the tutorial MGnify v5.0 Amplicon Pipeline, available in the GTN

Features

• Includes a Galaxy Workflow Report

Thanks to...

Workflow Author(s): ...

MGnify's amplicon pipeline v5.0. Including the Quality control for single-end and paired-end reads, rRNA-prediction, and ITS sub-WFs.

Associated Tutorial

This workflows is part of the tutorial MGnify v5.0 Amplicon Pipeline, available in the GTN

Features

• Includes a Galaxy Workflow Report ...

This workflow creates taxonomic summary tables out of the amplicon pipeline results.

Associated Tutorial

This workflows is part of the tutorial MGnify v5.0 Amplicon Pipeline, available in the GTN

Features

• Includes a Galaxy Workflow Report
• Uses ...

Quality control subworkflow for single-end reads.

Associated Tutorial

This workflows is part of the tutorial MGnify v5.0 Amplicon Pipeline, available in the GTN

Features

• Includes a Galaxy Workflow Report

Thanks to...

Workflow Author(s): ...

Classification and visualization of SSU, LSU sequences.

Associated Tutorial

This workflows is part of the tutorial MGnify v5.0 Amplicon Pipeline, available in the GTN

Features

• Includes a Galaxy Workflow Report
• Uses ...

Assembly and intrahost/low-frequency variant calling for viral samples

Workflow for quality assessment of paired reads and classification using NGTax 2.0 and functional annotation using picrust2.
In addition files are exported to their respective subfolders for easier data management in a later stage.

Steps:

• Quality plots (FastQC)
• NG-TAX 2 High-throughput Amplicon Analysis
• PICRUSt 2 - Function prediction from marker gene sequences
• Export module for ngtax

Amplicon analysis workflow using NG-Tax

Steps:

• Quality control on the reads
• Execute NGTax for ASV detection and classification

For more information about NG-Tax 2.0 have a look at https://doi.org/10.3389/fgene.2019.01366