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DataLivia

Life Sciences & Healthcare

Bioinformatics & Omics

We bring software and data engineering discipline to bioinformatics, so analytical workflows become structured, connected and reproducible.

Data workflow principle

  1. L1

    Source

    Scientific and research data enters the workflow.

  2. L2

    Pipeline

    Structured, reproducible processing transforms the data.

  3. L3

    Provenance

    Versions, metadata and processing history remain traceable.

  4. L4

    Use

    The resulting data supports research workflows and informed analysis.

Capabilities

Computational and data capabilities — not medical services.

  • 01Sequencing data
  • 02Omics workflows
  • 03Bioinformatics pipelines
  • 04Data integration
  • 05Reproducible analysis
  • 06Metadata and provenance
  • 07Research-oriented computational workflows
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