Zhijie Jiang – Frost Institute for Data Science & Computing

Simulated Microgravity Impairs Cardiac Autonomic Neurogenesis from Neural Crest…

June 1, 2018December 29, 2020

Microgravity-induced alterations in the autonomic nervous system (ANS) contribute to derangements in both the mechanical and electrophysiological function of the cardiovascular system, leading to severe symptoms in humans following space travel. Because the ANS forms embryonically from neural crest (NC) progenitors, we hypothesized that microgravity can impair NC-derived cardiac structures. Read more “Simulated Microgravity Impairs Cardiac Autonomic Neurogenesis from Neural Crest Cells” →

Regions of Homozygosity Identified by Oligonucleotide SNP Arrays

January 1, 2016October 26, 2020

This study demonstrates that ROHs are much more frequent than previously recognized and often reflect parental relatedness, ascertain autosomal recessive diseases or unravel UPD in many cases. Read more “Regions of Homozygosity Identified by Oligonucleotide SNP Arrays” →

SNP Array Evaluation Tool Highlighted at Genetics Meeting

May 24, 2012July 28, 2023

Zhijie Jiang was among several CCS researchers presenting at the 2012 annual meeting of the American College of Medical Genetics and Genomics in Charlotte, NC, discussing his updated SNP Array Evaluation Tool and its capability to identify, literally in seconds, a short-list of candidate genes/disorders on runs of homozygosity detected by a clinical SNP array. Read more “SNP Array Evaluation Tool Highlighted at Genetics Meeting” →

Featured Scientist Zhijie Jiang, PhD

June 28, 2011July 28, 2023

Dr. Zhijie Jiang received his PhD in Evolutionary Biology from Louisiana State University in 2006, and then spent one year working on genome annotation projects at Scripps, Florida (The Scripps Research Institute). His main projects at CCS can be divided into two categories: The first is genome assembling using next generation sequencing (NGS) data and genome annotation, his expertise includes both prokaryotic and eukaryotic genomes, run on two different NGS platforms; the second focus is gene expression analysis, working with microarray data as well as NGS data. This latter focus allows him to maintain an active interest in gene regulatory networks and promoter prediction.