Workflows

What is a Workflow?
1347 Workflows visible to you, out of a total of 1440

This workflow encodes the top-ranking predicted pathways from the previous workflow into plasmids intended to be expressed in the specified organism. BASIC is used as assembly method.

Type: Galaxy

Creators: None

Submitter: ramiz khaled

Stable

ENA Reads & Assembly Submission Workflow

Originally developed within the EVORA project, this two-step Galaxy workflow streamlines submissions to the European Nucleotide Archive (ENA). The workflow first submits raw sequencing reads via the Galaxy ENA upload tool, then submits assembled sequences using the Galaxy ENA Webin CLI tool. The process is fully interactive and GUI-driven while retaining ENA’s required validations ...

This workflow encodes the top-ranking predicted pathways from the previous workflow into plasmids intended to be expressed in the specified organism. Assembly methods are Gibson, Golden or Ligation Chain Reaction.

Type: Galaxy

Creators: None

Submitter: ramiz khaled

Annotation: Evaluating and ranking a set of pathways based on multiple metrics. Given a set of pathways generated by RetroPath2.0, this workflow informs the user as to the theoretically best performing ones based on the four criteria (target product flux, thermodynamic feasibility, pathway length, and enzyme availability).

Type: Galaxy

Creator: BioRetroSynth

Submitter: ramiz khaled

Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools

Type: Galaxy

Creator: BioRetroSynth

Submitter: ramiz khaled

Stable

Open in GitHub Codespaces GitHub Actions CI Status GitHub Actions Linting Status[![AWS ...

Type: Nextflow

Creators: Evangelos Karatzas, Martin Beracochea

Submitter: Evangelos Karatzas

DOI: 10.48546/workflowhub.workflow.1954.2

No description specified

Type: Galaxy

Creators: None

Submitter: ramiz khaled

No description specified

Type: Galaxy

Creators: None

Submitter: ramiz khaled

Work-in-progress

EOSC4Cancer_D2.2

Galaxy workflow used for EOSC4Cancer D2.2 - Analytical methods for data extraction, processing and sharing using biomedical images - demonstrator

An overview of the components for the image processing demonstrator can be seen in the diagram below diagram

Link to deliverable report on Zenodo: https://doi.org/10.5281/zenodo.15704480

Visualize and filter scATAC-seq anndata to produce a high quality count matrix

Associated Tutorial

This workflows is part of the tutorial Pre-processing of 10X Single-Cell ATAC-seq Datasets, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

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