When ecological and evolutionary dynamics occur on similar timescales, otherwise inaccessible stable and diverse communities can spontaneously assemble. WID researcher Kalin Vetsigian’s work is published in Nature Ecology & Evolution.
A new approach to climate data analysis hopes to improve regional forecasts.
An international team of researchers including WID scientists has discovered new mechanisms to regulate the activity of a gene essential in metabolism, with implications for pathologies related to alterations in glucose levels in the body, such as diabetes or metastasis in some types of cancer.
With Wisconsin’s short growing seasons, reducing a plant’s life cycle and completing the season earlier “could be very important for many crops.”
A team of researchers is developing a new approach for maintaining open blood vessels in the wake of surgeries such as angioplasties or bypasses.
Peter Lewis and his research group at WID study how mutations in DNA-organizing histone proteins lead to cancer development.
Much remains mysterious in the realm of machine learning. The next generation of machine learning algorithms is expected to not only bolster national defense capabilities, but also benefit civilians.
A new paper in Microbiology and Molecular Biology Reviews describes how the steps of virus reproduction contribute to timing and productivity of cell infection.
Laurent Lessard is working to improve the algorithms and computer software that keep the modern world running smoothly.
Karen Schloss and Laurent Lessard are working on a method for matching colors to people’s expectations to send the right message — starting with the best colors for waste and recycling bins.
WID researcher Shaoqin Sarah Gong is working to more safely deliver a variety of drugs to treat cancer, heart disease and even blindness.
Newly characterized roles for plant histone deacetylases have implications for growth and development. The Zhong Lab explores the influence of the enzymes in both transcription and translation.
WID researchers are engaging in fundamental mathematical and statistical research to support the development, testing, and fine-tuning of tools for the future, finding new ways to make sense of the mountains of data that are available in the 21st century and bringing into view important applications on the horizon.
Error rates as high as 50 percent are a problem when the goal is to correct typos in the DNA that cause genetic disease. Now, a team of researchers led by WID’s Kris Saha has made the fix less mistake-prone.
WID researcher Sushmita Roy and collaborators at UW–Madison and the University of Florida will use a $7 million grant from the U.S. Department of Energy to study how some plants partner with bacteria to create usable nitrogen and to transfer this ability to the bioenergy crop poplar.
Karen Schloss talks about the psychology behind color preferences in an interview for Artsy.
Xuehua Zhong recently received an outstanding investigator award from NIH via the Maximizing Investigators’ Research Award (MIRA) mechanism to support her research. She talked about how she uses plants to study epigenetics in an interview with Grow magazine.
Machine learning is a form of artificial intelligence by which algorithms are “trained” to analyze new information using existing data. Researchers are using it to identify individuals with a genetic condition known as fragile X premutation.
In a paper in Cell Systems, Sushmita Roy and colleagues develop a probabilistic graphical model-based method, multi-species regulatory network learning that uses a phylogenetic framework to infer regulatory networks in multiple species simultaneously.
WKOW Channel 27 highlights Randolph Ashton’s NSF grant to create blank model for spinal cells.
Kevin Ponto, a Principal Investigator in the Living Environments Lab is partnering with the Dane County Sheriff’s Office on a two-year, federally funded study to measure the effectiveness of virtual reality tools and 3-D-capture technology on crime scene investigations.
WID researchers Stephen Wright and Robert Nowak are part of a UW2020: WARF Discovery Initiative project to create machine learning tools that dramatically reduce the time and cost associated with screening compounds for therapeutic relevance.
Systems Biology researcher Kalin Vetsigian and graduate student Ye Xu recently published findings in Nature’s Scientific Reports about the stochasticity of growth within Streptomycetes spore communities.
WID scientists are combining theory with experiment to try to understand how life could arise from lifelike chemical reactions under the right conditions.