Human biology is rooted in highly specialized cell types programmed by a common genome, 98% of which is outside of…Cell Reports Methods
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.
Resolving chromatin remodeling-linked gene expression changes at cell type resolution is important for understanding disease states. We describe MAGICAL, a…medRxiv
Cultured Renal Proximal Tubular Epithelial Cells Resemble a Stressed/Damaged Kidney While Supporting BK Virus Infection
BK virus (BKV; human polyomavirus 1) infections are asymptomatic in most individuals, and the virus persists throughout life without harm.…Journal of Virology
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
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,…
Christopher Park joined the Center for Computational Biology in 2018 as a Flatiron Research Scientist. His work focuses on the intersection of RNA neurobiology, human genetics, psychiatric disorders and the endocrine system. Prior to joining the foundation, Christopher was a postdoctoral researcher at the Rockefeller…