Welcome
to Nova.
Deep Knowledge Graphs
AI & Large Language Models
Semantic Path Features
Literature Reviews
Transforming gene & trait discovery
KnetMiner Nova is an advanced bioinformatics platform designed to streamline biological search and gene discovery. Built on years of research, it addresses key challenges in evidence-based gene discovery with an AI-driven approach. By integrating rich knowledge graphs and intelligent analytics, Nova makes uncovering relevant plant science knowledge as simple as pressing search.
A major leap forward
KnetMiner has been completely reimagined with the Nova release, bringing a more powerful, scalable, and user-friendly experience. Now available as a SaaS platform with a freemium model, Nova introduces AI-powered literature reviews, enhanced cross-species networks, and a high-performance cloud-native architecture. KnetMiner Nova is designed to meet the evolving needs of academia and industry.

Boosted Performance
We have reengineered our backend with Neo4j and AWS, delivering enhanced performance and reduced computational overheads. This cloud-native infrastructure not only accelerates query processing but also lays the foundation for scaling up to larger pan-genomic and multi-omics knowledge graphs.
Learn MoreCross-species Networks
KnetMaps, our interactive knowledge discovery tool, has undergone a major upgrade to enhance cross-species network exploration. With new node icons, species grouping, and semantic path features, scientists can navigate complex biological relationships more intuitively.
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Towards Reliable AI Assistants
Our new Literature Review feature ensures reliable AI-driven insights by grounding summaries in curated publications from our knowledge graph. Using RAG techniques, it generates reports with in-line citations, cross-referenced nodes, and structured summaries of gene-trait relationships.
Learn MoreAll new SaaS Platform
We have rebuilt KnetMiner as a SaaS platform, adopting a freemium approach that meets both academic and industry needs. This new model streamlines access to bioinformatics capabilities while offering a scalable environment for advanced research.
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Exploring DELLA Protein Targets in Wheat
In partnership with Rothamsted Research, this project investigates DELLA proteins, key to plant growth.

Spaceflight on Arabidopsis
In collaboration with NASA Open Science Data Repository Plant Analysis Working Group.
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Hypothesis Generation & Validation for Tomato Firmness.
From Prediction to Proof: How KnetMiner can unveil and validate gene-trait relationships in crops.
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