LIU LAB

Our research focuses on algorithm development and integrative mining from high-throughput data to understand gene regulation in cancer biology. We have developed a number of widely used algorithms for transcription factor motif finding, ChIP-chip / ChIP-seq / DNase-seq / CRISPR Screen data analysis. Through integrating genome-wide transcription factor binding, chromatin dynamics, gene expression profiles, and chemical and functional screens, we try to model the specificity and function of transcription factors, chromatin regulators, RNA binding proteins, kinases, and lncRNAs in tumor development, progression, drug response and resistance... We have been developing algorithms (MACS, Cistrome, NPS, BETA) to facilitate the analysis of epigenomic data and use integrative modeling approaches to study genomic transcriptional and epigenetic gene regulatory mechanisms underlying tumorigenesis and progression. We are developing new methods to utilize the abundant public ChIP-seq data to infer..