Workflows
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Analysis pipeline for CUT&RUN and CUT&TAG experiments that includes sequencing QC, spike-in normalisation, IgG control normalisation, peak calling and downstream peak analysis.
Type: Nextflow
Creators: Chris Cheshire and Charlotte West, Chris Cheshire, Charlotte West and Tamara Hodgetts
Submitter: WorkflowHub Bot
NanoporeDB_workflow
1. Overview
This repository contains the integrated computational workflow for the large-scale mining, multimeric structure prediction, and quality filtering of protein nanopores. This pipeline enables the discovery of novel nanopore candidates from massive metagenomic and genomic databases. The structural models, pore geometry analysis, and ...
22_04_30: WF Update
The workflow serves as a short introduction to Galaxy for users from the Humanities who mostly work with texts.
Associated Tutorial
This workflows is part of the tutorial Introduction to Digital Humanities in Galaxy, available in the GTN
Features
- Includes [Galaxy Workflow ...
Workflow used for the Ecology tutorial devoted to use yolo model on SEANOE marine data
Associated Tutorial
This workflows is part of the tutorial Object detection with YOLO, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a ...
V 20 Renamed several output datasets in workflow
Associated Tutorial
This workflows is part of the tutorial Text-Mining Differences in Chinese Newspaper Articles, available in the GTN
Features
- Includes a Galaxy Workflow Report
- Uses ...
Automated image processing from movies to 2D classification. Includes quality and curator micrgographs protocols as Dose analysis, maxshift, tilt analysis, categorize micrographs, ctf consensus, also include particle curator as Remove duplicates and Deep micrograph cleaner. It also include a support branch to calculate the Box Size and train a model to pick the particles. The list of plugins required are: pwem, xmipp3, motioncorr, miffi, cistem, emfacilities, sphire, gautomatch, relion, repic
Text mining a museum collection in tabular format to extract from which year most objects derive and what they are.
Version 2, including updated tools from 05/2026.
Note: Deprecated as of May 2025. The mRNA preprocessing previously performed by this workflow is now built into the Fgenesh annotation workflow (881) Version 4. This workflow is no longer needed in the TSI annotation pipeline. Please use workflow 881 Version 4 directly with TransDecoder CDS output from workflow 879 (Extract transcripts).
This is part of a series of workflows to annotate a genome, tagged with TSI-annotation.
These workflows are based on command-line code by Luke Silver,
...
Fgenesh Annotation - TSI Workflow Description
Overview
One of a series of workflows to annotate a genome, tagged TSI-annotation. Based on command-line code by Luke Silver, converted into Galaxy Australia workflows.
Workflow Sequence
Run in this order:
- Repeat masking
- RNAseq QC and read trimming
- Find transcripts
- Combine transcripts
- Extract transcripts
- Fgenesh annotation (this workflow)
Inputs Required
Files uploaded by the user:
assembled_genome.fasta— the ...
Text mining a museum collection in tabular format to extract from which year most objects derive and what they are.
Associated Tutorial
This workflows is part of the tutorial OpenRefine Tutorial for researching cultural data, available in the GTN
Features
- Includes [Galaxy Workflow ...