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.
Featured News
Center for Computational Biology
Small Cell, Big Picture: Fundamental Biology Through the Lens of Simplified Models
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The nucleus of a cell may only be one-thousandth of a centimeter in diameter, but that doesn’t stop biophysicist Alex Rautu from seeing the big picture.
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.
Research Areas
Collaborative Work
Structural and Molecular Biophysics Collaboration
Underlying all biological processes are molecules and their interactions with each other. However, our ability to understand how these molecules function over biologically relevant scales remains very limited.
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Upcoming Events
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02 Thu -
Meeting 11:00 a.m. - 12:00 p.m.
CCB Seminar: Natalie Sauerwald, Ph.D, Flatiron Research Fellow (Genomics)
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Meeting 11:00 a.m. - 12:00 p.m.
Publication Highlights
Ensemble reweighting using Cryo-EM particles
P. Tang, B. Carpenter, D. Silva-Sánchez, J. Giraldo-Barreto, S. Hanson, A. Barnett, E. Thiede, P. Cossio
Cryo-electron microscopy (cryo-EM) has recently become a premier method for obtaining high-resolution structures of biological macromolecules. However, it is limited…
arXiv:2212.05320Concurrent ARFI Plaque Imaging and Wall Shear Stress Measurement in Human Carotid Artery, with Validation by Fluid Structure Interaction Model.
Keerthi S. Anand, E. Kolahdouz, et al.
The rupture potential of an atherosclerotic plaque is dependent on both the plaque’s composition and the shear stresses it encounters…
IEEE International Ultrasonics SymposiumSARS-CoV-2 Outbreak Dynamics in an Isolated US Military Recruit Training Center With Rigorous Prevention Measures
Rhonda A. Lizewski, R. Sealfon, O. Troyanskaya, et al.
Marine recruits training at Parris Island experienced an unexpectedly high rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection,…
EpidemiologyDirector
Software
aLENS
This is the simulation tool for tracking assemblies of microtubules driven by motor proteins.
STKFMM
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.
humanbase
Data-driven predictions of gene expression, function, regulation, and interactions in human.
DeepSEA
Deep learning-based algorithmic framework for predicting chromatin effects
FNTM
Functional Networks of Tissues in Mouse
GIANT
Genome-wide Scale functional interaction networks for 144 human tissues and cell types
IMP 2.0
Integrative Multi-species Prediction
KNNimpute
K-Nearest Neighbors Imputation
Nano-Dissection
This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression.
SEEK
Search-Based Exploration of Expression Compendium [Human]
SkellySim
SkellySim is a simulation package for simulating cellular components such as flexible filaments, motor proteins, and arbitrary rigid bodies.
Sleipnir
Sleipnir Library for Computational Functional Genomics
URSA(HD)
A data-driven perspective to your gene expression profile for human tissues and diseases.