Erika Da-Inn Lee
Developing computational tools to learn the principles of genome organization
Tag: -omics
-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.
Molly Carroll
Application of computational models to predict cancer prognostics from proteomics and secretomics
Sarah Stevens
Data Science Hub Facilitator
Facilitating connections and training researchers in data science.
Data Science Initiative Supports Faculty Research at UW–Madison
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.
Brian Yandell
Professor
Co-lead of Data Science Hub (datascience.wisc.edu). Research on systems genetics.
WID Researchers Looking to the Future with UW2020 Awards
Investigators from WID are among the recipients of the latest round of UW2020 awards.
Ahna Skop
Professor
Mechanisms that underlie cell division and using scientific art to engage the public
Stefan Pietrzak
Transcriptional and epigenetic mechanisms regulating cellular differentiation and reprogramming
Sean Palecek
Professor
Engineering platforms to regulate human pluripotent stem cell differentiation
Weaning Crops from Nitrogen Fertilizers: Examining Evolution’s Innovations
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.
Weipeng Zhou
Focus on the development and application of statistical tools for high-dimensional "omics" data
Sailendharan Sudakaran
Madison Microbiome Hub Manager / Multi Omics Hub Coordinat
Campus resource to support researchers interested in tackling a broad spectrum of microbiome research
Eric Armstrong
Comparative metabolomics; Epigenetics of therapy-resistant prostate cancer
Alexis Lawton
Understanding the mechanisms and biological functions of reversible protein acetylation.
Anastasia Lindahl
Mechanisms of metabolic regulation of chromatin and histone acetylation in response to diet
Page Lab
Algorithms for data mining and machine learning, and their applications to biomedical data, especially clinical and high-throughput genetic and other molecular data. Of particular interest are inductive logic programming (ILP) and other multi-relational learning techniques capable of dealing with complex data points (such as molecules or clinical histories) and producing logical rules.
Roy Lab
A computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. The lab works to identify networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and construct predictive models from these networks.
Handelsman Lab
Understanding diversity in microbial communities and their role in infectious disease; in particular, the genetic basis for stability of microbial communities, the role of a gut community as a source of opportunistic pathogens, and the soil microbial community as a source of new antibiotics and antibiotic resistance genes.
Zhong Epigenetic Regulation Lab
Working to understand the fundamental mechanisms of chromatin-based gene regulation. The lab studies how various chromatin factors are recruited to chromatin to “read” and ‘translate” epigenetic information into differential gene expression patterns under normal growth and development as well as stress conditions.
Denu Lab
Investigating the mechanism and biological function of reversible protein modifications involved in modulating signal transduction, chromatin dynamics, and gene activation and addressing the “Histone Code” hypothesis by beginning to understand histone modification signaling code and its mechanisms and regulation.
