We are part of Rothamsted Research: the oldest agricultural research institute on the planet and a world leader in plant sciences. The development of KnetMiner has arisen from many years of interdisciplinary research between bioinformaticians, computer scientists and plant biologists. A plethora of diverse crop, insect and pathogen datasets needed to be connected with well curated model species data and the scientific literature information. KnetMiner is the first gene discovery platform for the biological sciences, unearthing previously unknown links between genes, gene networks and traits by searching across species and the boundaries between academic disciplines.
We provide digital technologies and innovations for getting the right data to the right people in the right format at the right time.
Our team of bioinformaticians and computer scientists are experts in gene mining, data integration and knowledge graphs. We are fully committed and want to amaze your organisation with our tools and expertise. We are funded through public and private investment and any income generated through licensing goes back into product development. Our key values are full transparency, generating insights with value, sharing the latest innovations, and giving users the best user experience. Our vision is to make biological search more integrated, intuitive and intelligent, enabling a better way to discover and share new insights. Connect with us to explore further.
Our team has the technical knowledge and bioinformatics excellence to surpass your expectations.
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With the wealth of genomic resources now available in wheat, having one place where we can query relationships across datasets and species is hugely important. With KnetMiner we can now visualise and access these relationships in a consistent and quick manner, meaning that our work on important agronomic traits is accelerated.
Prof Cristobal Uauy
Knetminer turns the predicted contents of genomes into a galaxy of knowns and unknowns that can be easily explored in infinite ways.
Prof Kim Hammond-Kosack
I now train my students and collaborators how to extract data from NASA GeneLab and then feed into KnetMiner to understand the function of candidate genes in relation to spaceflight related stresses such as radiation and micro-gravity.