Pioneering autonomous science facility puts a big focus on tiny microbes and AI-driven science.

Predicting how organisms’ characteristics respond to not only their genes, but also their environments (a nascent field called predictive phenomics), is extraordinarily challenging. Researchers at PNNL are using AI to tackle that challenge.

Understanding molecular modifications of proteins in the red yeast could help scientists re-engineer the organism’s phenotype.

A multi-institutional team of researchers systematically compared extraction techniques for characterizing plant litter composition that relies on organic matter extraction.