A key challenge in precision medicine lies in understanding molecular-level underpinnings of complex human disease. Biological networks in multicellular organisms…Journal of Molecular Biology
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.
The goal of CCB Genomics research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods for systems-level pathway modeling through integrative analysis of genome-scale datasets.
Single-cell analysis of progenitor cell dynamics and lineage specification in the human fetal kidney.
The mammalian kidney develops through reciprocal interactions between the ureteric bud and the metanephric mesenchyme to give rise to the…Development
Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression.
The biology and behavior of adults differ substantially from those of developing animals, and cell-specific information is critical for deciphering…PLoS Genetics
Xi Chen joined the Flatiron Institute’s Center for Computational Biology in 2016 in the genomics group. Chen’s research focuses on developing algorithms for processing and statistical analysis of heterogeneous genomics data. He has a Ph.D. in electrical engineering from Virginia Polytechnic Institute and State University,…
John Hayward joined the Simons Foundation in 2016 as a senior software engineer in Center for Computational Biology’s Genomics group. Before joining the foundation, Hayward worked as a research and development analyst for the Bloomberg Tokyo Marunouchi office, adapting East Asian market data feeds for…
Genome-wide Scale functional interaction networks for 144 human tissues and cell types
Deep learning-based algorithmic framework for predicting chromatin effects
This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression.
Integrative Multi-species Prediction
Search-Based Exploration of Expression Compendium [Human]
K-Nearest Neighbors Imputation
Functional Networks of Tissues in Mouse
A data-driven perspective to your gene expression profile for human tissues and diseases.
Data-driven predictions of gene expression, function, regulation, and interactions in human.
Sleipnir Library for Computational Functional Genomics