DataHelix
Bioinformatics pipelines & infrastructure
The approach
A pipeline should not need its author on speed dial.
We develop and deploy analysis pipelines in your computing environment. Quality control, monitoring, documentation, and hands-on training help your team run, troubleshoot, and extend them.
The work
What comes with the build
- Operational design: Error handling, monitoring, and quality checks built into the workflow.
- Your environment: Integration with existing laboratory processes, data types, cloud infrastructure, or HPC.
- Reproducible analysis: Versioned tools, containers, validation datasets, and documented parameters.
- A practical handover: Runbooks, training, and troubleshooting sessions with the people who will operate the system.
Under the hood
Technologies & methods
- Workflow engines: Nextflow, Snakemake, WDL, and CWL; Docker and Singularity for portable environments.
- Genomics: WGS, exomes, and targeted panels, from QC and alignment to variant calling and annotation.
- Multi-omics: Bulk and single-cell RNA-seq, metagenomics, proteomics, and metabolomics workflows.
- Microbial genomics: Pathogen identification, resistance detection, phylogenetics, and outbreak analysis.
- Infrastructure and data: AWS, HPC scheduling, storage, metadata, backups, and resource monitoring.
Let’s get specific about your pipeline.
Share your data types, analysis goals, and computing environment. We can work out the implementation and handover together.
Discuss implementation