Welcome to my blog! I am Kuan Rong, currently a principal research scientist in Duke-NUS medical school. My scientific career begun in 2008 , interrogating how antibodies can influence outcome of dengue virus infection. In my PhD with Prof. Ooi Eng Eong, we identified the molecular mechanisms involved in dengue virus neutralisation and enhancement (Chan et al., PNAS, 2011; Chan et al., PNAS, 2014). After graduation, I had the unique opportunity to work with Prof. Ooi Eng Eong and Dr. Jenny Low to investigate if antibodies can impact the outcome of the live-attenuated Yellow Fever virus infection. Since then, I became very interested in data science. By integrating various omics platforms (e.g. genomics, proteomics and metabolomics), we were able to understand how human variations and host responses affect immunogenicity and adverse events to the Yellow Fever vaccine (Chan et al., Nature Microbiology, 2016; Chan et al., Nature Medicine, 2019).
My motivation for setting up this blog is to share my knowledge on big data analysis. With the advent of high-throughput genomics, proteomics and metabolomics platforms, these tools are increasingly used to provide insights of biological processes involved in virus infection and disease manifestation, which can help guide the development of therapeutics against viral infections. However, to a virologist, extracting biologically meaningful data from omics data can be challenging, as many of us do not have formal training in bioinformatics. Fortunately, many experts in the field have developed tools that are free and easy to use. I hope that the information provided in this website will be useful for individuals with a passion for infectious diseases and systems biology.