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Data and statistical software solutions for biosciences

VSNi provide both statistical software and experimental design software for biosciences, in particular plant, aqua and animal breeding activities. Designed by statisticians, our products meet the ever-changing demands of researchers, scientists, analysts and breeders looking for exceptional decision making solutions that can accommodate increasingly large and complex datasets.
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Supporting analytical research for the Biosciences

Animal Breeding

Animal breeders face a continuous challenge to improve breeding stock while reducing costs and minimizing environmental impacts. New technologies have substantially increased the amount of data availa...

Plant Science

Plants provide us with food, clean air, water, fuel, clothes, medicines and much more.  Humanity depends on plants; therefore, plant science is essential. Using a multidisciplinary approach, plant sci...

Aquaculture

With the recent collapse of many fish populations along with a number of new species being listed as endangered, the science of fisheries is now more important than ever. The ability to understand aqu...

Discover our Products

Our world class analytics package in on-permises software - licensed for one user or thousands.
Flexible general statistical data analysis software applicable to all fields of research

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Fit linear mixed models using advanced Residual Maximum Likelihood (REML) techniques in an R environment

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Fit linear mixed models using advanced Residual Maximum Likelihood (REML) techniques

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High quality scientific research starts with a well designed experiment. CycDesigN is a comprehensive experimental design package ideal for field, glasshouse, laboratory, clinical and taste testing trials

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Companies

Tens of thousands of users

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Countries

Across all continents

Case studies

Our analytics and consulting services are used across the globe by seed, plant, aqua and animal breeding companies, helping them develop new varieties, strains, stocks and breeds.
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A world leader in the advancement and application of algorithmic and analytical content for the smart/precision biotech sector

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