Using third-generation metagenomics, researchers from the Department of Plant Production and Microbiology at the Miguel Hernández University of Elche (UMH) have uncovered the genomic basis behind the evolutionary success ...
A joint research team from the Institute of Biophysics of the Chinese Academy of Sciences and the Beijing Institute of Technology has uncovered a pivotal mechanism by which bacteria defend themselves against viral infection.
An international collaboration between four scientists from Mainz, Valencia, Madrid, and Zurich has published new research in the Proceedings of the National Academy of Sciences, shedding light on the most significant increase ...
The MicroIker group of the University of the Basque Country (UPV/EHU) has explored the diversity and distribution of unicellular organisms in the springs of the Añana Salt Valley. The study is published in the journal Microbial ...
In a new Nature Physics study, researchers have provided evidence of universal conformal invariance in living biological cells. They show that a universal feature in the collective behavior emerges in groups of living cells.
Identifying rare microorganisms in microbiome data just got easier. A team of researchers from Portugal and Canada has developed a new tool that uses machine learning to automatically detect rare biosphere in ecological datasets.
Cell-free systems, which can express an easily detectable protein with a DNA or mRNA template without constraints of living cells, are attractive as foundations for biosensors. Moreover, by encapsulating them in lipid bilayer ...
A study focusing on analyzing cell models found universality in their movement—an important discovery that could impact both health and robotics.
Shanghai Jiao Tong University along with multiple collaborating institutions including the University of Copenhagen and Lawrence Berkeley National Laboratory, have conducted an extensive investigation into microbial ecosystems ...
Researchers at the Arc Institute, Stanford University, and NVIDIA have developed Evo 2, an advanced AI model capable of predicting genetic variations and generating genomic sequences across all domains of life.
