Welcome to the Xing Laboratory of RNA Genomics and Bioinformatics!
Current Research Topics:
The long-term goal of our research is to elucidate how genomic and environmental variation of RNA regulatory networks impacts phenotypic traits and diseases.
We are a hybrid computational and experimental lab. We combine genomic, bioinformatic, molecular, and network approaches to study mRNA processing and
post-transcriptional gene regulation in mammalian cells. We develop novel computational and statistical methods for analysis of massive genome and transcriptome data.
We integrate computational studies with high-throughput and experimental research to systematically investigate
the variation and dynamics of RNA regulatory networks between species, within human populations, and in response to developmental and disease signals.
September 2016: We received a research grant from the Parker Institute for Cancer Immunotherapy.
September 2016: We received an R01 grant from the NIH Big Data to Knowledge (BD2K) initiative to develop statistical methods and informatics pipelines for integrating transcriptomic and proteomic big data.
July 2016: We received a National Institute of Mental Health (NIMH) R01 grant (with Drs. Douglas Black and Kathrin Plath) to study alternative splicing regulation in the mammalian brain.
July 2016: Jinkai's work on m6A-LAIC-seq (m6A level and isoform characterization sequencing) is published by Nature Methods. See UCLA news release, GenomeWeb news story, and News & Views by Nature Methods.
June 2016: Shihao's SURVIV paper is published by Nature Communications. SURVIV is a statistical method for survival analysis of mRNA isoform variation in cancer transcriptomes. See UCLA news release and GenomeWeb news story.
January 2016: Lan's work on primate-specific, protein-coding Alu exons is published by Genome Biology (also see "Proteome diversification by genomic parasites", research highlight by Eli Eisenberg).