dxflow Hub
The dxflow Hub is a curated catalog of production-ready workflows. Each is a dxflow workflow definition you deploy on dxflow infrastructure with a single command — from the CLI or the web console.
Categories
Genomics
DNA & RNA analysis — quality control, genome assembly, RNA-Seq, variant calling.
Examples: FastQC, SAMtools, Pangolin
Molecular
Molecular simulations — protein dynamics, drug interactions, material properties.
Examples: GROMACS, PyMOL
Structural
3D structure analysis — cryo-EM processing, structure prediction, modeling.
Examples: Scipion
Analytics
Interactive computing — notebooks, statistics, and machine learning.
Examples: Jupyter Lab, RStudio
Visualization
Scientific visualization — post-processing and rendering of large datasets.
Examples: ParaView, VisIt
Desktop
Remote Linux desktops — full GUI environments streamed to your browser.
Examples: Ubuntu, Fedora, Void
Browser
Web browsers — full desktop browsers in a remote session.
Examples: Chromium, Firefox, Vivaldi
Deploy a workflow
Every entry is addressable as hub://<name>, where <name> is the workflow's folder name — the engine reads the definition straight from this catalog:
# Browse from the CLI, then deploy by name
dxflow workflow hub search fastqc
dxflow workflow create --identity my-workflow hub://fastqc
dxflow workflow start my-workflow
dxflow workflow logs --live my-workflow
Each workflow page includes its workflow definition, configuration, usage examples, and system requirements. For the full deployment guide, see How it works.
Contribute
Have a workflow others would find useful? Add it as a folder in the matching category — an index.md describing it plus a Dockerfile for its image — and open a pull request to dxflow-ai/hub, following the structure of existing entries. Report problems or request workflows in the community issue tracker.