The Center for Computational Biology develops new and innovative methods of examining data in the biological sciences whose scale and complexity have historically resisted analysis.
CCB’s mission is to develop modeling tools and theory for understanding biological processes and to create computational frameworks that will enable the analysis of the large, complex data sets being generated by new experimental technologies.
- Meeting 10:30 - 11:30 a.m.
- Meeting 11:00 a.m. - 12:00 p.m.
SARS-CoV-2 Outbreak Dynamics in an Isolated US Military Recruit Training Center With Rigorous Prevention Measures
Marine recruits training at Parris Island experienced an unexpectedly high rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection,…Epidemiology
Inspired by the recent realization of a two-dimensional (2-D) chiral fluid as an active monolayer droplet moving atop a 3-D…Journal of Fluid Mechanics
Male sex is a major risk factor for SARS-CoV-2 infection severity. To understand the basis for this sex difference, we…Cell Systems
This is the simulation tool for tracking assemblies of microtubules driven by motor proteins.
This is a numerical computation package for various single- and double-layer kernels for Laplace and Stokes operators in boundary integral methods, implemented on top of the highly-optimized kernel independent fast-multipole method package PVFMM.
Data-driven predictions of gene expression, function, regulation, and interactions in human.
Deep learning-based algorithmic framework for predicting chromatin effects
Functional Networks of Tissues in Mouse
Genome-wide Scale functional interaction networks for 144 human tissues and cell types
Integrative Multi-species Prediction
K-Nearest Neighbors Imputation
This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression.
Search-Based Exploration of Expression Compendium [Human]
SkellySim is a simulation package for simulating cellular components such as flexible filaments, motor proteins, and arbitrary rigid bodies.
Sleipnir Library for Computational Functional Genomics
A data-driven perspective to your gene expression profile for human tissues and diseases.