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.
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Center for Computational Biology
A ‘Forest Fire’ Model of Cell Division Can Explain Clonal Dominance in Developing Tissue
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A new study reveals that communication between cells encasing the developing fruit fly egg chamber induces unequal cell division, shedding light on a fundamental biological process.
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
Upcoming Events
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24 Mon -
Meeting 10:00 - 11:00 a.m.
Biophysical Modeling Group Meeting
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Meeting 10:00 - 11:00 a.m.
Systems Biology Group Meeting
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Meeting 10:00 - 11:00 a.m.
Biophysical Modeling Group Meeting
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Meeting 10:00 - 11:00 a.m.
Systems Biology Group Meeting
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Meeting 10:00 - 11:00 a.m.
Developmental Dynamics Group Meeting
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Seminar 11:00 a.m. - 12:00 p.m.
CCB Seminar: Collective motion of confined biased swimmers: magnetotactic bacteria in channels and spheres
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Meeting 10:00 - 11:00 a.m.
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25 Tue -
Seminar 9:45 - 11:00 a.m.
CCB Seminar: Harmen Bussemaker
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Seminar 11:00 a.m. - 12:00 p.m.
CCB Seminar: Probing the DNA binding specificity of transcription factor complexes with deep sequencing and biophysically interpretable machine learning
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Seminar 9:45 - 11:00 a.m.
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26 Wed -
Meeting 2:00 - 3:30 p.m.
Hormone Circuits Interest Group
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Meeting 2:00 - 3:30 p.m.
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27 Thu -
Meeting 10:00 - 11:00 a.m.
Structural and Molecular Biophysics Collaboration Meeting
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Meeting 10:00 - 11:00 a.m.
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 EnvironmentMotile dislocations knead odd crystals into whorls
Ephraim S. Bililign, Florencio Balboa Usabiaga,, M. Shelley, et al.
The competition between thermal fluctuations and potential forces governs the stability of matter in equilibrium, in particular the proliferation and…
Nature PhysicsBidirectional communication in oogenesis: a dynamic conversation in mice and Drosophila
Caroline A. Doherty , Farners Amargant , S. Shvartsman, et al.
In most animals, the oocyte is the largest cell by volume. The oocyte undergoes a period of large-scale growth during…
Trends in Cell BiologyDirector
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.