Yaping Fang received his his Ph.D. in Chemical biology from Sichuan University and B.S. from Central China Normal University. He is a Assocaite Professor with the Department of Big Data Science at the College of Informatics and Huazhong Agricultural University. His research focuses on algorithm development and integrative mining from big data generated on the next generation sequencing technology, bioinformatics, three-dimensional (3D) genomics and epigenetics, artificial intelligence.
Research interests
Our main research focuses on algorithm development and integrative mining from high-throughput data to understand gene regulation in biology. We are using bioinformatics tools as well as statistical methods for transcription factor, ChIP-Seq, ATAC-Seq RNA-Seq (including lncRNA and miRNA) DNA methylation, Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) and Hi-C, CRISPR Screen data analysis and so on. Through integrating genome-wide transcription factor binding, 3D genome structures, chromatin dynamics, gene expression profiles, and chemical and functional screens, we try to model the specificity and function of transcription factors, 3D genome structures and their functions, chromatin regulators, RNA binding proteins, kinases, and lncRNAs in cell and disease development, progression, drug response and resistance.
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