HAL (France)
open access
VirHunter: A Deep Learning-Based Method for Detection of Novel RNA Viruses in Plant Sequencing Data
High-throughput sequencing has provided the capacity of broad virus detection for both known and unknown viruses in a variety of hosts and habitats. It has been successfully applied for novel virus discovery in many agricultural crops, leading to the current drive to apply this technology routinely
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Managing the deluge of newly discovered plant viruses and viroids: an optimized scientific and regulatory framework for their characterization and risk analysis#1203485
- Possibilities in plant virus classification#1043935
- Diversity, distribution and transmission of viruses associated with sunflower in South Africa#1348179
- Divergent peanut stunt virus isolates from black locust (Robinia pseudoacacia L.) in Slovakia retain infectivity across multiple leguminous hosts#1312980
- Genetic diversity of two viruses affecting lentil and chickpea crops in the highlands of Ethiopia#205049
Record · ID 1203484
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive