Case study

Omics-driven diagnostics in animals

Chronic diseases are a burden for companion animals, but can be managed better if diagnosed early. Multi-omics analysis is complex, but offers opportunities to discover novel biomarker panels.

The customer journey

A global animal health pharmaceutical company has amassed significant molecular data & continues to acquire new data assets rapidly. This has escalated its bioinformatics demands and introduced both data management challenges & opportunities, which they require expert guidance to navigate.

Approach

Audited existing scientific workflows to deliver a comprehensive re-engineering implementation plan

Refactored five independent analysis tools into robust, production-quality code by bridging scientific expertise with software best practices

Engineered a unified pipeline to connect in-house and external software into one coherent workflow

Results

Deployed a robust Nextflow architecture to seamlessly orchestrate and scale the unified scientific workflows

Embedded these integrated workflows directly into the client’s custom cloud-based business orchestration layer

Delivered a comprehensive testing strategy and rigorous documentation to fully support Computerized System Validation (CSV)

 

Bio|Mx®: case study outcome:

  • Developed a PPI interaction network tailored to the specific animals in question, enriched with disease insights from humans and model organisms.
  • Leveraged public data and cross-species integration to uncover significant biological patterns.
  • Delivered a digital twin of the disease, enabling the client to identify novel patterns, test hypotheses, and make data-driven strategic decisions.

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