Insect on a yellow flower, representing non-human genome analysis

Non-human Genome Analysis

From strain and variety selection to biodiversity surveillance, population-scale analysis yields fast, reliable, and actionable results.

Insect on a yellow flower, representing non-human genome analysis

Non-human Genome Analysis

From strain and variety selection to biodiversity surveillance, population-scale analysis yields fast, reliable, and actionable results.

Non-human genomics is diverse by nature: high variability, complex populations, and fast-evolving genomes. Pangenomic analysis becomes practical at scale, so you can compare samples fairly, detect meaningful variation in challenging regions, and move from data to action quickly.

01

Microorganisms

01

Microorganisms

Industrial microbiology and bioprocesses

Select and optimize strains, monitor variation across batches, and detect drift or contamination using pangenomic population analysis. Ideal for high-throughput workflows where speed and consistency matter.

Food & beverage fermentation

Ingredients & enzymes

Probiotics and microbiome products

Bioenergy/biofuels

Biomaterials and green chemistry

Quality control and contamination tracking

Microbial colonies growing in a Petri dish, representing microorganism genomics applications

02

Plants

02

Plants

03

Animals

03

Animals

04

Sustainability and One Health

04

Sustainability and One Health

The benefits

Faster insights, higher-quality calls, and scalable analysis. Powered by pangenomics. 

Move beyond a single reference

Reduce reference-driven blind spots when working with diverse populations, breeds, cultivars, and fast-evolving genomes.

Pangenomic-powered population genomics

Go from “data” to “decision” faster by correlating genotype and phenotype across cohorts, powering strain/variety selection and trait discovery.

Speed to actionable results

Not just faster compute: fewer cycles to reach a confident choice (what to select, what to scale, what to monitor).

Scales across organisms and workflows

Run consistent analysis from pilots to production, across short- and long-read data, without locking into a single vendor or deployment model.

Trusted by

OUR PARTNERS

  • GenomSys logo
  • Bgenetica logo
  • Istituto Oncologico del Mediterraneo logo
  • Politecnico di Milano logo
  • Università degli Studi di Milano logo
  • IGATech logo
  • Scuola Superiore Sant’Anna logo
  • Newcastle University logo
  • Indian Institute of Technology Delhi (IIT Delhi) logo

Trusted by

OUR PARTNERS

  • GenomSys logo
  • Bgenetica logo
  • Istituto Oncologico del Mediterraneo logo
  • Politecnico di Milano logo
  • Università degli Studi di Milano logo
  • IGATech logo
  • Scuola Superiore Sant’Anna logo
  • Newcastle University logo
  • Indian Institute of Technology Delhi (IIT Delhi) logo

Trusted by

OUR PARTNERS

  • GenomSys logo
  • Bgenetica logo
  • Istituto Oncologico del Mediterraneo logo
  • Politecnico di Milano logo
  • Università degli Studi di Milano logo
  • IGATech logo
  • Scuola Superiore Sant’Anna logo
  • Newcastle University logo
  • Indian Institute of Technology Delhi (IIT Delhi) logo
Insect on a yellow flower, representing non-human genome analysis

Experience a new standard in genomic interpretation.

Insect on a yellow flower, representing non-human genome analysis

Experience a new standard in genomic interpretation.