AI powered Gene Discovery and Knowledge Mining

Simplifying biological search and gene discovery with integrated, AI-driven tools for faster insights.

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KnetMiner Makes Gene Discovery Easier, Faster and Smarter

Easier
Search

Navigate plant science effortlessly with intuitive search powered by knowledge graphs. Find what you need without sifting through endless data.

Faster
Discoveries

Accelerate your (re)search with AI-driven tools that connect genes, traits, and pathways in seconds, saving valuable time.

Smarter
Results

Generate insightful reports that highlight critical findings, giving you an edge in your research and impressing your peers.

Deep Research.

Simple & Fast

Faced with hundreds of candidate genes from your ‘omics or genetics study of a complex trait? Simply input your genes and traits, and search our regularly updated knowledge graphs for biological insights.

Exploratory Analysis.

Evidence Based

Identify genes with known links to your keywords of interest. Rank, filter, visualise to narrow down your search space to most promising leads.

Convenient Intelligence.

AI Summarisation

Summarise your findings with built-in AI tools, saving time with deep researched knowledge maps and literature reviews.

Better
Collaboration.

Save, Share & Export

Save, share, and export your knowledge to facilitate teamwork and collaboration.

Introducing KnetMiner Nova.

Our Latest Version

Nova represents a transformative step for KnetMiner, introducing the power of knowledge graphs combined with large language models for the first time.

Powered by our new GraphRAG engine, researchers can perform deep research across thousands of genes or traits, instantly uncovering connections and insights within the broader scientific knowledge base.

Choose Your Path to Discovery

Start for free with our Lite resources for basic research needs, or upgrade to KnetMiner Premium to unlock access to deeper knowledge, more species and advanced features.

Discover Now
plants
lite
FREE
Cereals premium
fungi
lite
FREE

Nova: The Next Generation of KnetMiner Innovation

KnetMiner Nova is a comprehensive gene discovery platform designed for plant and pest genomes. Subscribe to our Premium resources to access deep knowledge graphs and advanced features that accelerate your research.

Our offering adds value to your research

The Research Life Cycle

Get funded.

Quickly assess the knowledge landscape to build evidence-backed hypotheses for your next grant.

Get Connected.

Link your data to published research. Discover connections beyond the literature.

Get Results.

Achieve results faster with targeted insights that clarify complex gene-trait relationships.

Get Ahead.

Gain a competitive edge with deep insights that are tailored to your (re)search.

KnetMiner helps you delve into complex genetic interactions that shape important traits. Our platform allows you to explore:

Explore how gene mutations, like those affecting the auxin pathway, can alter regulatory networks to produce desired traits.

Investigate downstream genes of DMR6 to uncouple traits and reduce unwanted pleiotropic effects.

Mine complex gene-trait-environment relationships to uncover how polygenic traits and pleiotropic genes influence plant development.

Passionate about exploring genetic interactions.

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."

Cristobal Uauy
Director & CEO @ John Innes Centre

Testimonials

"Knetminer turns the predicted contents of genomes into a galaxy of knowns and unknowns that can be easily explored in infinite ways."

Kim Hammond-Kosack
Professor @ Rothamsted Research

Testimonials

"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