Computomics - Success Stories

Predict virtual hybrids from a male and female double-haploid population and predict hybrid phenotypes that exceed their parents and testers

AB InBev ⨉ Computomics

Multi-trait optimization in malting barley for specific climates

Barley Breeder at AB InBev

‘Am I making the right decisions?’ is the question that keeps us up at night! We’re dealing in 10+ year horizons. Computomics is helping us to accelerate our breeding pipeline and maintain quality – we’re aiming to cut it from 10-12 years to 5 years!

Microbiome Solutions in Pharma

Easily generate insights from skin microbiome samples with MORPHEUS

Senior Research Scientist, Large Pharmaceutical Company

MORPHEUS was quick and easy to use and the included analysis apps delivered important insights into my study. All data processing was performed on the platform and we did not need to invest into additional hardware. I was able to download all data tables and integrate the results into our existing R workflows.

Beck's ⨉ Computomics

Predict virtual hybrids from a male and female double-haploid population and predict hybrid phenotypes that exceed their parents and testers

Dr. Tom Koch, research manager at Beck’s

Our partnership with Computomics, centered around predictive analytics, elevates our breeding program to align with top competitors. We are able to apply disruptive machine learning technology to bring new hybrids to market that have been optimized for specific climates.

IRRI ⨉ Computomics

Advancing rice breeding by predicting actual phenotypic values in specific environments

Remy Bitoun, Head of IRRI Tech Transfer

Computomics’ well-established capabilities in bioinformatics and AI, and their focus on plant genomic analysis makes them the ideal partner in maximizing the potential of IRRI’s extensive research data, genetic resources, and expertise in rice breeding.

AB InBev ⨉ Computomics

Multi-trait optimization in malting barley for specific climates

AB InBev ESG Report

Our Global Barley Research team developed a partnership with the ag biotech company Computomics to help us breed varieties today for the environments of the future. Early results showed on average approximately 25% improvement in prediction accuracy compared to previous methods.