Genotyping Agriculture-Agri-genomics

Ensure sustained food production and safety

Use NGS-based genotyping to access markers for any species and analyse more samples more quickly




There are many plants and animals for which commercial arrays or assays have yet to be developed. RIPTIDE™ enables researchers to circumvent this issue by using a Genotyping by Sequencing approach.

Easily access novel markers for novel species.




RIPTIDE™ enables you to Multiplex up to 96 samples in a single tube in processes that can be performed manually or using existing automation platforms.

Analyse more samples faster than ever before without additional investment in equipment or people.




RIPTIDE™’s streamlined workflow requires 25% of the total pipette steps per sample compared to alternative technologies. Integrates seamlessly with existing bioinformatics pipelines.

RIPTIDE™ not only saves your time, it reduces your cost per sample and per data point

There is an urgent, vast, and largely unmet need for genotyping in agricultural research, food production, and food safety. RIPTIDE™ enables the rapid, scalable and affordable genotyping of all food crops and livestock to help identify desirable traits.

The value of RIPTIDE™ in Agrigenomics


DNA extracted from the saliva of West Highland White Terriers using iGenomX RIPTIDE™ High-Throughput Rapid Library Prep (HT-RLP) detected more than 30 million biallelic variants linked to an undiagnosed fibrosis of the lung, commonly known as Westie Lung Disease. 29.7 million single nucleotide polymorphisms were detected per sample in over 95% of the canine DNA samples. Over 5.2 million single nucleotide polymorphisms (SNPs) in the study had a minor allele frequency of greater than 5%, which is over fifty times more variants than the leading canine microarray in this informative category of allele frequencies.


Sequencing-based genotyping of 96 maize samples using iGenomX RIPTIDE™ High-Throughput Rapid Library Prep (HT-RLP) yielded high-quality readouts evenly distributed across the plant’s genome. The maize samples were collected from a public cornfield in Iowa and included four parent populations and 92 recombinant inbred lines (RILs). The genomic sequence data was highly amenable to determining haplotypes (i.e. groups of genes or single nucleotide polymorphisms inherited from a single parent useful in identifying diseases). Almost the entire 2.4 gigabase genome was sequenced using this approach with only negligible portions of the genome remaining unsequenced.

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