Center for Computational Biology

Simons Foundation

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.

Groups

Biophysical Modeling The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Read More

Developmental Dynamics The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development. Read More

Genomics An immensely complex molecular network of interactions forms the foundation of human biology and disease. Genomic approaches provide a particularly illuminating window to biological systems, and when combined with advanced analysis allow us to learn and model this complexity. Read More

Neuroscience Our goal is to understand how the brain analyzes large and complex datasets streamed by sensory organs in order to aid efforts at building artificial neural systems and treating mental illness. Read More

Systems Biology At the Systems Biology group, we are developing new methods to learn the networks that run life’s program. Read More

News & Announcements

November 10, 2020

Finding Signals in the Noise with HumanBase By Susan Reslewic Keatley, Ph.D.

October 23, 2020

Molecular Processes in Kidney Cells May ‘Prime’ Diabetics for COVID-19 Infection By Thomas Sumner

September 16, 2020

An Enhanced View of ALS

Featured Events

December 2020

Lecture
Biophysics and Development Seminar Series

Multiple dates on Mondays unless otherwise noted.
1:00 - 2:00 PM

Virtual

More info

Upcoming Events

November 2020

24 Tue
- Meeting 11:00 AM - 12:00 PM
  Developmental Dynamics Group Meeting
- Lecture 1:15 - 2:30 PM
  Brown Bag Seminar
  
  Olga Troyanskaya, Ph.D.Deputy Director for Genomics, CCB, Flatiron Institute
26 Thu
- Meeting 1:00 - 2:00 PM
  Genomic Group Meeting
30 Mon
- Meeting 10:00 AM - 12:00 PM
  Biophysical Modeling Group Meeting
  
  Brato Chakrabarti, Ph.D.Flatiron Research Fellow, Biophysical Modeling, CCB, Flatiron Institute
- Lecture 10:00 - 11:00 AM
  Systems Biology Group Meeting

December 2020

01 Tue
- Meeting 11:00 AM - 12:00 PM
  Developmental Dynamics Group Meeting
- Lecture 1:00 - 2:00 PM
  Biophysics and Development Seminar Series
03 Thu
- Meeting 1:00 - 2:00 PM
  Genomic Group Meeting
07 Mon
- Meeting 10:00 AM - 12:00 PM
  Biophysical Modeling Group Meeting
  
  Reza Farhadifar, Ph.D.Research Scientist, CCB, Flatiron Institute
- Lecture 10:00 - 11:00 AM
  Systems Biology Group Meeting

Research Highlights

September 23, 2020

Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution

R. Farhadifar, C-H. Yu, G. Fabig, H-Y. Wu, D. Stein, M. Rockman, T. Müller-Reichert, M. Shelley, D. Needleman

The spindle shows remarkable diversity, and changes in an integrated fashion, as cells vary over evolution. Here, we provide a…

eLife

September 1, 2020

A scalable computational platform for Stokes suspensions

W. Yan, E. Corona, D. Malhotra, S. Veerapaneni, M. Shelley

We describe a computational framework for simulating suspensions of rigid particles in Newtonian Stokes flow. One central building block is…

Journal of Computational Physics

August 27, 2020

Swirling Instability of the Microtubule Cytoskeleton

D. Stein, G. De Canio, E. Lauga, M. Shelley, R. E. Goldstein

In the cellular phenomena of cytoplasmic streaming, molecular motors carrying cargo along a network of microtubules entrain the surrounding fluid.…

BioRxiv: 2020.08.27.268318

Director

Michael Shelley, Ph.D.

Director, CCB

Michael Shelley joined the Simons Foundation in 2016 to work on the modeling and simulation of complex systems arising in physics and biology.

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