Microbial communities are highly sensitive to environmental changes, yet their enormous diversity makes it difficult to ...
Scientists are worried about how smart DNA-trained artificial intelligence models could get—and that they could become a ...
One of the most iconic visual representations in biological science is the double helix – the twisting, twin-stranded ladder ...
Seitz, E.E., McCandlish, D.M., Kinney, J.B., and Koo P.K. Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning. bioRxiv, October 8, 2025. https ...
DNA sequences of nearly any desired composition, length, and function can be synthesized to alter the biology of an organism for purposes ranging from the bioproduction of therapeutic compounds to ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Molecular control circuits embedded within chemical systems to direct molecular events ...
Nanopore sequencing is promising because of its long read length and high speed. During sequencing, a strand of DNA/RNA passes through a biological nanopore, which causes the current in the pore to ...
Machine learning methodologies can be applied readily to biological problems, but standard training and testing methods are not designed to control for evolutionary relatedness or other biological ...
We present a 3D-fluorescence imaging and classification tool for high throughput analysis of microbial eukaryotes in environmental samples. It entails high-content feature extraction that permits ...
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