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.
Seminar 1:15 - 2:30 PMSebastian Fürthauer, Ph.D.Research Scientist, Biophysical Modeling, CCB, Flatiron Institute
- Seminar 1:15 - 2:30 PM
In October of 2020, in response to the Coronavirus Disease 2019 (COVID-19) pandemic, our team hosted our first fully online…PLOS Comuptational Biology
In early development, cells commit to a single germ fate despite receiving multiple, conflicting inductive cues. Here, we examine how…Proceedings of the National Academy of Science of the USA
Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites
Despite recent success in computational design of structured cyclic peptides, de novo design of cyclic peptides that bind to any…Nature Communications
AMSOS (Active Matter Self-Organization Simulator)
This is the simulation tool for tracking assemblies of microtubules driven by motor proteins.
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.
Data-driven predictions of gene expression, function, regulation, and interactions in human.
Deep learning-based algorithmic framework for predicting chromatin effects
Functional Networks of Tissues in Mouse
Genome-wide Scale functional interaction networks for 144 human tissues and cell types
Integrative Multi-species Prediction
K-Nearest Neighbors Imputation
This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression.
Search-Based Exploration of Expression Compendium [Human]
Sleipnir Library for Computational Functional Genomics
A data-driven perspective to your gene expression profile for human tissues and diseases.