Four major computational biology research topics include:
• Probabilistic modeling of long-range three-dimensional enhancer-gene networks in diverse cellular-contexts and inference of hierarchical regulatory logic of combinatorial transcription factors on gene expression.
• Network-based prediction and functional annotation of non-coding genetic variants associated with complex phenotypes in different species.
• Machine learning algorithms to predict regulatory elements of gene expression (insulators, enhancers and boundary elements), large-scale chromatin domains, and histone modification signatures (‘histone-code’) based on genomics, epigenomics and transcriptomics data.
• Statistical and computational methodology development for efficient design, analysis and interpretation of biological big-data generated from new high-throughput techniques.