(Rice University) A robust two-stage microbial sensor developed at Rice University will help researchers observe gene expression and the bioavailability of nutrients in environments like soil and sediments without disturbing them.
Researchers at Carnegie Mellon University have developed a new dynamic statistical model to visualize changing patterns in networks, including gene expression during developmental periods of the brain.
Studying microbial communities in San Joaquin Delta rice fields, researchers linked microbial metabolism and nutrient availability to soil carbon cycling rates.
Researchers use programmed bacteria as gas sensors that help them 'see' into soil to learn about the behavior of the microbial communities within.
HOUSTON - (July 18, 2016) - Rice University researchers have developed gas biosensors to "see" into soil and allow them to follow the behavior of the microbial communities within. In a study in the American Chemical Society's journa...