Structured execution
Replace run-specific instructions with an explicit interface for the files and parameters the pipeline requires.
Custom pipeline development
Turn Existing Bioinformatics Scripts into Managed Pipelines
Move a validated or specialist analysis into a structured service that the wider research team can configure, follow, and review without rebuilding its environment or instructions for every run.
Pipeline migration
Preserve the specialist logic while simplifying repeat use
The objective is not to hide the analysis. It is to make its interfaces, execution, and outputs consistent enough for a research program to run and review repeatedly.
- Stage 01
Document the current process
Identify the scripts, containers, dependencies, references, manual steps, and decisions that make the analysis run today.
Analysis logic · dependencies · deployment requirements
- Stage 02
Define the pipeline interface
Turn files, references, parameters, and other required values into structured inputs for the researcher running the analysis.
Inputs · parameters · validation · compute requirements
- Stage 03
Run and inspect the analysis
Expose status, execution details, logs, and outputs while preserving specialist visibility into the run.
Run history · logs · outputs · reruns
- Stage 04
Make it part of the program
Connect the managed pipeline to workspace data and give each participant the appropriate view of progress and results.
Workspace roles · project data · collaborator review
Repeatable analysis delivery
Reduce handoffs without removing technical control
Known environment
Capture dependencies and deployment requirements so repeat work does not begin with environment reconstruction.
Specialist visibility
Keep execution details and logs available to the people responsible for reviewing or troubleshooting the analysis.
Team-facing results
Let researchers and partners follow progress and review the relevant outputs within the shared program.
Free project pilot
Run your own data through GenomeMiner, free.
Tell us about your project. We'll set up a workspace, recommend the right pipelines, and provide free credits so you can evaluate GenomeMiner on real research, not a demo dataset.
Request a free pilotPilot access and credits are scoped to your project.
- Free pilot with pipeline credits
- No infrastructure to set up
- Bring your existing pipelines
How the pilot works
- 1Tell us about your data and research goal.
- 2We identify the right pipelines and allocate credits for your project.
- 3Your team runs real analyses in its own GenomeMiner workspace.