Workflows
What is a Workflow?Filters
The MAPseq to Ampvis workflow processes MAPseq OTU tables and associated metadata for analysis in Ampvis2. This workflow involves reformatting MAPseq output datasets to produce structured output files suitable for Ampvis2.
MGnify's amplicon pipeline v5.0. Including the Quality control for single-end and paired-end reads, rRNA-prediction, and ITS sub-WFs.
Type: Galaxy
Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute
Submitter: WorkflowHub Bot
Classification and visualization of ITS regions.
Type: Galaxy
Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute
Submitter: WorkflowHub Bot
Quality control subworkflow for paired-end reads.
Type: Galaxy
Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute
Submitter: WorkflowHub Bot
Quality control subworkflow for single-end reads.
Classification and visualization of SSU, LSU sequences.
Type: Galaxy
Creators: Rand Zoabi, Paul Zierep, EMBL's European Bioinformatics Institute
Submitter: WorkflowHub Bot
This workflow creates taxonomic summary tables out of the amplicon pipeline results.
The workflow takes trimmed HiC paired-end reads collection, and Pri/Alt assemblies to produce a scaffolded primary assembliy (and alternate contigs) using YaHS. It also runs all the QC analyses (gfastats, BUSCO, and Merqury).
This KNIME workflow is designed to facilitate the loading of image data from OMERO. It includes key preprocessing steps for VAST data, such as metadata creation and the linking of Key-Value Pairs.
- Fetching Images: The first step involves fetching images from a locally accessible folder.
- User Authentication: Users are prompted to input their OMERO username and password through a Java snippet. This information is then converted into variables that can be used by the Python script node. ...