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AI foundation models trained on DNA could speed up plant research
A wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene function, and measure crop traits faster than traditional methods allow.
In the March Nature Genetics, Gopal et al. describe a two-step approach to identify novel genes by combining stringent annotation with broad gene-prediction techniques (Nature Genetics 2001, ...
Researchers in Japan have generated a high-quality genome assembly of red perilla (Perilla frutescens), a plant most often found in Asia and commonly known in Japan as Aka-Shiso and in Great Britain ...
Researchers at Hiroshima University have developed a new tool to quickly and accurately map fungal gene functions, even for species that have never been studied before.
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