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
The RNA Detective
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At the Flatiron Institute, Christopher Park studies how mutations in RNA might play a role in neuropsychiatric conditions like autism, schizophrenia and ADHD.
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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05 Mon -
Meeting 10:00 - 11:00 a.m.
Developmental Dynamics Group Meeting
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Meeting 10:00 - 11:00 a.m.
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07 Wed -
Meeting 2:00 - 3:30 p.m.
CCB Short Course: An Introduction to Information Theory in Biology
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Meeting 2:00 - 3:30 p.m.
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08 Thu -
Meeting 10:00 a.m. - 12:00 p.m.
Genomics Group Meeting
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Colloquium 1:00 - 2:30 p.m.
CCB Colloquium: Liat Shenhav, Ph.D. (Rockefeller University)
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Meeting 10:00 a.m. - 12:00 p.m.
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14 Wed -
Meeting 2:00 - 3:30 p.m.
CCB Short Course: An Introduction to Information Theory in Biology
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Meeting 2:00 - 3:30 p.m.
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12 Thu -
Colloquium 1:00 - 2:30 p.m.
CCB Colloquium: Praytush Tiwary, Ph.D. (University of Maryland)
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Colloquium 1:00 - 2:30 p.m.
Publication Highlights
SARS-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,…
EpidemiologyIncompressible active phases at an interface. Part 1. Formulation and axisymmetric odd flows
L. Jia, William T. M. Irvine, M. Shelley
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 MechanicsPre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection
Male sex is a major risk factor for SARS-CoV-2 infection severity. To understand the basis for this sex difference, we…
Cell SystemsDirector
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.