Xiao Jingfa

Biography

Dr. XIAO Jingfa is currently a professor of Beijing Institute of Genomics, Chinese Academy of Sciences (CAS) since 2012. Dr. Xiao received his B.S. degree in biology from Sichuan University in 1995 and Ph.D. degree in computational biology and chemistry from Jilin University in 2003. From 2003 to 2007, he performed his postdoctoral research in Dr. Zongru Guo's Lab of Institute of Materia Medica, Chinese Academy of Medical Sciences and Dr. Thanh N Truong’s Lab of Department of Chemistry, University of Utah. From 2007 to 2012, he worked as an associate professor in Beijing Institute of Genomics, Chinese Academy of Sciences.

Research Interest

Biological data are generated at a massive scale and continue to grow at unprecedentedly exponential rates, thus posing considerable challenges worldwide in biological data deposition, integration and translation. Currently there are two major directions in our group: 1) Integrate public personal omics data nationally and internationally to build precision reference genomes and genetic variation map for different populations; Associate omics data with clinical data with the goal to develop knowledge network for precision medicine. 2) Establish the prokaryotic microbial genome annotation and data analysis platform; Analysis of pathogenic mechanisms and host-microbe interactions for pathogenic bacterium from pangenomic insights. Recent Progress  Recently we present a mammalian transcriptomic database (MTD) that is focused on mammalian transcriptomes, and the current version contains data from humans, mice, rats and pigs. Regarding the core features, the MTD browses genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes by integrating them into a genome browser. We developed a novel nomenclature for each transcript that considers its genomic position and transcriptional features. To elucidate the dynamics of gene expression regulation, the MTD also enables comparative transcriptomic analysis in both intraspecies and interspecies manner.