The Multi-Omics Hub will focus on the use of big data about the genes, microorganisms, and metabolites to understand biological systems. WID’s expertise makes it an ideal home for the Epigenetics Initiative for the large campus community that studies the epigenome, and as such WID will organize meetings, seminars, mutli-PI …
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.
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.
Kris Saha illuminates the inner workings of gene editing.
Systems Biology researchers Deborah Chasman and Sushmita Roy are using machine learning to identify virus and pathogenicity-specific regulatory networks which may guide the design of effective therapeutics for infectious diseases. The work is described in a recent paper in PLOS Computational Biology.
The Epigenetics theme at WID is putting mass spectrometry to use in new ways with specialized workflows designed to uncover the mysteries of chromatin.
John Denu, Epigenetics Theme leader, keeps UW-Madison on top of research in epigenetics.
David Page tackles relational databases and algorithms to predict and improve patient health.