Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes.
AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes." ScienceDaily. ScienceDaily, 26 April 2024. <www.sciencedaily.comLeibniz Institute of Plant Genetics and Crop Plant Research. . AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes.Leibniz Institute of Plant Genetics and Crop Plant Research.
For the first time, researchers have developed a genome-scale way to map the regulatory role of transcription factors, proteins that play a key role in gene expression and determining a plant's ... Newly developed artificial intelligence programs accurately predicted the role of DNA's regulatory elements and three-dimensional structure based solely on its raw sequence, according to ...
Researchers have developed a work-flow method, called Fanflow4Insects, that annotates gene functions in insects. In functional annotation, scientists collect information about a gene's biological ... Computational biologists have created a neural network model capable of predicting how changes to non-coding DNA sequences in yeast affect gene expression. They also devised a unique way of ...
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