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Hassani-Pak, K., Singh, A., Brandizi, M., Hearnshaw, J., Parsons, J. D., Amberkar, S., Phillips, A. L., Doonan, J. H.and Rawlings, C. (2021) KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species. Plant Biotechnol. J. https://doi.org/10.1111/pbi.13583

11 March 2021

Vegetable breeding companies evaluate KnetMiner tools

Pilot study with VLPB A consortium of European plant breeding companies (VLPB) have evaluated the value of KnetMiner to...

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07 August 2020

The power of standardised and FAIR knowledge graphs

FAIR knowledge graphs are a gold mine for AI. This article will explain why and provide examples how the knowledge graph...

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03 June 2020

COVID-19 KnetMiner: Diving in a sea of data

Searching in the deep sea of data for clues Recently, the KnetMiner team released the COVID-19 Human KnetMiner, as deta...

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03 June 2020

Bespoke knowledge graph and KnetMiner for sorghum and sugarcane

Filling the knowledge gaps to help compare, prioritize, and access information of potential traits It's likely unsurpri...

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19 April 2020

Designing Future Wheat – connecting data and resources for wheat research

Gene expression and regulation data Understanding complex traits and diseases requires knowledge of genes and how their...

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