-Omics research includes fields such as proteomics, genomics, epigenomics, and metabolomics and refers to the totality of a subject: all constituent parts considered collectively.
WID researchers are working to manage and utilize the massive amounts of data associated with -omics research to understand and inform gene regulation, cellular reprogramming, precision medicine, and complex biological systems.
WID is home to the Multi-Omics Hub.
A new publication from the Xuehua Zhong’s group at the Wisconsin Institute for Discovery and the genetics department at the University of Wisconsin–Madison clarifies an important epigenetic mechanism in plants that will help researchers better understand the epigenomes of both plants and animals.
Assistant professor of plant pathology Claudia Solís-Lemus is a recipient of funding from the Department of Energy to develop statistical theory and tools for computational biology.
WID researchers have developed a computational tool that can accurately predict the three-dimensional interactions between regions of human chromosomes.
WID researchers used a collaborative combination of computational and wet lab experimental techniques to find a connection between a transcription factor and a neurodevelopment gene.
WID's new hubs—Data Science, Multi-Omics, and Illuminating Discovery—represent a new path forward for collaborative research projects and fields.
Ten highly innovative projects have been chosen to receive University of Wisconsin–Madison Data Science Initiative funding, including two led by Wisconsin Institute for Discovery investigators.
Investigators from WID are among the recipients of the latest round of UW2020 awards.
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.
Systems Biology researcher Sushmita Roy is leading an effort putting computational methods to work characterizing the gene regulatory networks responsible for cell differentiation.
The upshot of the study from researchers in the Epigenetics theme at WID is another indictment of the so-called Western diet, high in saturated fats, sugar, and red meat.
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.
Michael Ferris and Stephen Wright, principal investigators in the WID Optimization Theme comment on New York Times Magazine article "A Sucker is Optimized Every Minute".
Harvesting data and harvesting crops? There's an app for that.
A recent WID study creates a better understanding of how cells are "reprogrammed" when an organism eats fewer calories.
A partnership between WID and the Great Lakes Bioenergy Research Center uses data and gaming to crack tough research questions.
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