Welcome
to Nova.

new

Deep Knowledge Graphs

NEW

AI & Large Language Models

NEW

Semantic Path Features

new

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.

Vegetables Premium data

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.

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Cross-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.

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All 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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Use cases

Exploring DELLA

In Triticum Aestivum

Use cases

Spaceflight on Arabidopsis

In collaboration with NASA Open Science Data Repository Plant Analysis Working Group.