Morning Overview on MSN

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.
The Scientist

Gene discovery by stringent annotation

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, ...
EurekAlert!

PhytoCell: An ensemble learning framework for identifying cell states in plant scRNA-seq data

With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual ...
EurekAlert!

Scientists sequence and annotate majority of Red Perilla’s genome, a step toward harnessing more of its medically valuable bioactive chemicals

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 ...
Morning Overview on MSN

New spatial transcriptomics maps gene activity across whole bodies

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...