Structured execution
Replace run-specific instructions with an explicit interface for the files and parameters the workflow requires.
Custom pipeline development
Turn Existing Bioinformatics Workflows 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 workflow run today.
Workflow 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
Try GenomeMiner with your own research project.
Discuss your project with us and we'll provide free platform access and pipeline credits matched to your data and analysis needs.
1Tell us about your data and research goal.
2We'll identify relevant pipelines and an appropriate credit allocation.
3You'll receive free platform access to evaluate GenomeMiner with your project.