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
NetQuilt: A Powerful Computational Approach for Predicting Protein Function
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By stitching together an unprecedented diversity of data, a new software platform has enabled scientists to robustly predict what proteins do.
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.
Groups
Featured Events
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Colloquia
2021 Fall CCB Colloquia Schedule
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Colloquia
2021 Fall CCB Colloquia Schedule
Upcoming Events
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21 Thu -
Meeting 10:00 - 11:00 AM
Structural and Molecular Biophysics Collaboration Meeting
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Meeting 1:00 - 2:00 PM
Genomics Group Meeting
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Meeting 10:00 - 11:00 AM
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22 Fri -
Seminar 10:00 - 11:00 AM
Guest Seminar: Ellen V. Rothenberg
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Seminar 10:00 - 11:00 AM
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25 Mon -
Meeting 10:00 - 11:00 AM
Biophysical Modeling Group Meeting
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Meeting 10:00 - 11:00 AM
Systems Biology Group Meeting
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Meeting 10:00 - 11:00 AM
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26 Tue -
Seminar 1:15 - 2:30 PM
CCB Brown Bag Seminar
Douglas Renfrew, Ph.D.Research Scientist, Systems Biology, CCB, Flatiron Institute -
Meeting 5:00 - 6:00 PM
DevDy Group Meeting
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Seminar 1:15 - 2:30 PM
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28 Thu -
Meeting 10:00 - 11:00 AM
Structural and Molecular Biophysics Collaboration Meeting
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Meeting 1:00 - 2:00 PM
Genomics Group Meeting
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Meeting 10:00 - 11:00 AM
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01 Mon -
Meeting 10:00 - 11:00 AM
Biophysical Modeling Group Meeting
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Meeting 10:00 - 11:00 AM
Publication Highlights
SARS-CoV-2 RNA concentrations in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases
Fuqing Wu, Amy Xiao, R. Bonneau, et al.
Current estimates of COVID-19 prevalence are largely based on symptomatic, clinically diagnosed cases. The existence of a large number of…
Science of The Total EnvironmentCollective oscillations of coupled cell cycles
Binglun Shao, Rocky Diegmiller, S. Shvartsman
Problems with networks of coupled oscillators arise in multiple contexts, commonly leading to the question about the dependence of network…
Biophysical JournalGenetic and epigenetic coordination of cortical interneuron development
Kathryn C. Allaway, M. Gabitto, R. Bonneau, et al.
One of the hallmarks of the cerebral cortex is the extreme diversity of interneurons. The two largest subtypes of cortical…
NatureDirector
Software
AMSOS (Active Matter Self-Organization Simulator)
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]
Sleipnir
Sleipnir Library for Computational Functional Genomics
URSA(HD)
A data-driven perspective to your gene expression profile for human tissues and diseases.