A key unmet challenge in interpreting omics experiments is inferring biological meaning in the context of public functional genomics data.…Nature 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.
Effective discovery of causal disease genes must overcome the statistical challenges of quantitative genetics studies and the practical limitations of…Nature Biotechnology
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
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,…