Results 191 to 200 of about 455,803 (329)

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Recently, plant science has seen transformative advances in scalable data collection for sequence and chemical data. These large datasets, combined with machine learning, have demonstrated that conducting plant metabolic research on large scales yields remarkable insights.
Rachel Knapp   +2 more
wiley   +1 more source

Chromosome‐scale reference genome of Pectocarya recurvata, the species with the smallest reported genome size in Boraginaceae

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Pectocarya recurvata (Boraginaceae, subfamily Cynoglossoideae), a species native to the Sonoran Desert (North America), has served as a model system for a suite of ecological and evolutionary studies. However, no reference genomes are currently available in Cynoglossoideae. A high‐quality reference genome for P.
Poppy C. Northing   +3 more
wiley   +1 more source

Using large language models to extract plant functional traits from unstructured text

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Functional plant ecology seeks to understand how functional traits govern species distributions, community assembly, and ecosystem functions. While global trait datasets have advanced the field, substantial gaps remain, and extracting trait information from text in books, research articles, and online sources via machine learning ...
Viktor Domazetoski   +6 more
wiley   +1 more source

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