中文版
English
研究員  |  蔡懷寬  
 
contact
vita
education
experience
interests
descriptions
activities
invited_talk
invited_visit
honors
grants
publications
software
others
supervised
lab (New window)
 
 
 
 
 
Research Descriptions
 

My research mainly focuses on understanding fundamental regulatory mechanisms in cells. I aim to understand the dynamic interactions between cis- and trans- regulatory elements, the impact of these interactions on gene expression and the evolutionary signatures of genes and genomes. As such, I apply integrative approaches that combine computational techniques and statistical methods to high-throughput experimental data from a variety of organisms, including yeast, fruit fly, mouse and human. My investigations include the identification of the function of transcription factors (TFs) and their binding sites (TFBSs), the impact of DNA binding position variants on gene expression, the cis-regulatory modules of divergent gene pairs, the association between nucleosome occupancy and the evolution of TFBSs, the identification of interactions between TFs, the impact of TFs and  microRNA (miRNA) on protein evolutionary rates, the association between non-B DNA structures and exon skipping, and the role of enhancer transcripts in gene regulation.

To further our understanding, we have begun to investigate additional factors that play significant roles in gene regulatory mechanisms, including epigenetic and DNA structural properties. My research also includes projects on metagenomics, wherein we analyze microbial samples directly taken from the environment. Our goal is to improve data processing methods for the noisy metagenomics data and determine the systemic properties of microbial communities. Our recent achievements in this field include novel discoveries ranging from specific characterization of elements to holistic examination of regulatory systems. These discoveries are driven by and have enabled us to create new tools and de novo methods for furthering the understanding of genetics, genomics, transcriptomics, and metagenomics.

 
 
bg