We provide digital technologies and services for getting the right data to the right people in the right format at the right time.


About KnetMiner

KnetMiner is an ever-evolving project, primarily funded by the Delivering Sustainable Wheat project. We’ve spun-out from the Rothamsted Research umbrella (one of the oldest agricultural research institutions in the world - founded in 1843). KnetMiner is by scientists, for scientists; delivering a curation of scientific knowledge and interactions through a massive Knowledge Graph, consisting of over four million nodes and nearly 18 million edges. 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.

KnetMiner and FAIR data principles

At KnetMiner we are proudly doing our part in publishing data the way it should be: using FAIR data principles. FAIR data is a goldmine for artificial intelligence (AI) as it emphasises machine-readability, which is essential for bulk data curation and effective, long term support from biologists and data scientists alike. FAIR data has been sharpening the focal plane of research since 2007, when the principles first began to unfold. In April 2022, Scheffler et al. published in Nature about the need to store data FAIRly, to enable the knowledge of the future to grow as 'findable and AI ready'. KnetMiner is based on the Ondex OXL format, a freely available file format. If you are interested in learning more about FAIR data and KnetMiner, consider taking a look at our blog post on The power of standardised and FAIR knowledge graphs. Our vision is to make biological search more integrated, intuitive and intelligent, enabling a better way to discover and share new insights.
Find our FAIRsharing record here.

Our team has the technical knowledge and bioinformatics excellence to surpass your expectations.

Keywan Hassani-Pak
CEO and Founder
Head of Bioinformatics at Rothamsted Research
Chris Rawlings
Chairman and Scientific Adviser
Head of Computational and Analytical Sciences
Ajit Singh
Senior Full Stack Developer
Leader of KnetMiner and KnetMaps
Marco Brandizi
Senior Software Engineer
Leader of KnetGraphs and KnetBuilder
Benjamin Turner
Non Executive Director
COO
Jeremy Parsons
Bioinformatics Data Scientist
Leader of ETL
Rob King
Bioinformatics Scientist
Leader of Genomics Applications
Dan Smith
Bioinformatics Scientist
Leader of Pathogenomics Applications
Emma Bailey
PhD Student
Leader of IPM Applications
David Hughes
Bioinformatics Scientist
Leader of Metagenomics Applications
Keywan Hassani-Pak
CEO and Founder
Head of Bioinformatics at Rothamsted Research
Chris Rawlings
Chairman and Scientific Adviser
Head of Computational and Analytical Sciences
Ajit Singh
Senior Full Stack Developer
Leader of KnetMiner and KnetMaps
Marco Brandizi
Senior Software Engineer
Leader of KnetGraphs and KnetBuilder
Benjamin Turner
Non Executive Director
COO
Jeremy Parsons
Bioinformatics Data Scientist
Leader of ETL
Rob King
Bioinformatics Scientist
Leader of Genomics Applications
Dan Smith
Bioinformatics Scientist
Leader of Pathogenomics Applications
Emma Bailey
PhD Student
Leader of IPM Applications
David Hughes
Bioinformatics Scientist
Leader of Metagenomics Applications

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Testimonials

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

John Innes Centre

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

Rothamsted Research

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.

Dr Richard Barker

NASA, University of Wisconsin