Rapid progress in proteomics and large-scale profiling of biological systems at the protein level necessitates the continued development of efficient computational tools for the analysis and interpretation of proteomics data. Here, we present the piNET server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with the LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Read more “piNET: A Versatile Web Platform for Downstream Analysis and Visualization of Proteomics Data”
IDSC data specialists are collaborating with national consulting firm MDB, Inc. in designing and developing an interactive evidence map displaying the impact of social needs interventions* on health outcomes. “Our multidisciplinary UM team will effectively translate scientific findings and data into a visual evidence map to help physicians, researchers, and health insurance systems see patterns that otherwise would not be evident,” Read more “Mapping Social Needs Interventions and Health Outcomes”
Changes in future precipitation are of great importance to climate data users in South Florida. A recent U.S. Geological Survey workshop, “Increasing Confidence in Precipitation Projections for Everglades Restoration,” highlighted a gap between standard climate model outputs and the climate information needs of some key Florida natural resource managers. Read more “Aligning Climate Models with Stakeholder Needs: Advances in Communicating Future Rainfall . . .”
“Shocking statistics are prevalent these days, so you need to pay close attention to what a graphic is attempting to convey.” This is the advice of Alberto Cairo, the Knight Chair in Visual Journalism at the University of Miami School of Communication and a veteran expert on news information graphics and how data journalism is helping the world to understand the impact of the coronavirus.
As COVID-19 continues to spread across the globe, data visualizations can help us better understand the impacts of this public health and economic crisis. From interactive maps about the virus’s global dispersion to iconography about national unemployment rates, visualization specialists are finding novel ways to display an influx of ever-changing data. Read more “Data Visualizations Help us Understand the Impact of COVID-19”
By combining their creativity with powerful computing tools, University of Miami graduate students Maria Aguilar and Manouj Govindaraju crafted an extended reality (XR) application to welcome incoming freshman. Now, campus newcomers will be able put on a Magic Leap 1 set and “walk” through the campus, learn about academics, athletics and other topics, and listen to UM students talking about their fondest memories. Read more “Fine Arts Students Develop Immersive XR Experience”
Approximate Nearest Neighbor (ANN) search is a fundamental algorithmic problem, with numerous applications in many areas of computer science. In this work, we propose indexable distance estimating codes (iDEC), a new solution framework to ANN that extends and improves the locality sensitive hashing (LSH) framework in a fundamental and systematic way. Read more “iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search”
A composite analysis reveals how the Madden–Julian oscillation (MJO) impacts North American rainfall through perturbations in both the upper-tropospheric flow and regional low-level moisture availability. Upper-level divergence associated with the MJO tropical convection drives a quasi-stationary Rossby wave response to the midlatitudes. Read more “How MJO Teleconnections and ENSO Interferencce Impacts U.S. Precipitation”