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.
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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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Spaceflight on Arabidopsis
In collaboration with NASA Open Science Data Repository Plant Analysis Working Group.
Trusted by Leading Organisations
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