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

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

Numerical Algorithms The Numerical Algorithms group works on the development of new computational and statistical methods for analyzing large, complex datasets. 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

Neurons in Cerebellum Show Surprising Activity During Learning

CCB’s Olga Troyanskaya Named a Fellow of the International Society for Computational Biology

New Tool Predicts Autism Risk Genes

Research Highlights

September 11, 2017

A single early-in-life macrolide course has lasting effects on murine microbial network topology and immunity

V Ruiz, T Battaglia, S Kurtz, L Bijnens, A Ou, I Engstrand, X Zheng, T Iizumi, B Mullins, C. Müller, K Cadwell, R. Bonneau, G Perez-Perez, M Blaser

Broad-spectrum antibiotics are frequently prescribed to children. Early childhood represents a dynamic period for the intestinal microbial ecosystem, which is…

Nature Communications

September 1, 2017

Integrated Analysis of Biopsies from Inflammatory Bowel Disease Patients Identifies SAA1 as a Link Between Mucosal Microbes with TH17 and TH22 Cells

M Tang, R Bowcutt, J Leung, M Wolff, U Gundra, D Hudesman, L Malter, M Poles, L Chen, Z Pei, A Neto, W Abidi, T Ullman, L Mayer, R. Bonneau, P Loke

Background: Inflammatory bowel diseases (IBD) are believed to be driven by dysregulated interactions between the host and the gut microbiota.…

Inflammatory Bowel Diseases

August 23, 2017

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation3.

K Karwacz, Emily Miraldi, Ph.D., M Pokrovskii, A Madi, N Yosef, I Wortman, X Chen, A. Watters, N. Carriero, A Awasthi, A. Regev, R. Bonneau, D. Littman, V Kuchroo

Type 1 regulatory T cells (Tr1 cells) are induced by interleukin-27 (IL-27) and have critical roles in the control of…

Nature Immunology

Director

Leslie Greengard, M.D., Ph.D.

Director, CCB

Leslie Greengard joined the Simons Foundation in 2013 as founding director of the Simons Center for Data Analysis, now called the Center for Computational Biology. Prior to that, Greengard served as director of the Courant Institute of Mathematical Sciences at New York University.