Computational & Statistical Systems Biology Laboratory
@ Cardiovascular Research Institute, National University of Singapore
CSSB Laboratory develops computational and statistical solutions for the analysis of high-dimensional molecular data in various contexts of biomedical research. These tools are motivated by a wide range of research topics, including
- Integration of multiple -omics data sets for feature space exploration and prediction analysis
- Analysis of mass spectrometry (MS) data for proteomics and metabolomics
- New approaches for proteogenomic analysis
- Interactive data visualization for high-dimensional data
To see examples of our work, check out the CSSB LAB GitHub page!
CSSB Laboratory also provides next generation sequencing (NGS) and MS data analysis support for basic scientists and clinical investigators through Centre for Systems Biology, NUHS. Our collaborative work includes exome sequencing, epigenetic profiling, transcriptomics, proteomics and metabolomics/lipidomics data analysis.
Principal Investigator: Hyungwon Choi
Computational & Statistical Systems Biology Lab
Cardiovascular Research Institute
Department of Medicine, Yong Loo Lin School of Medicine
National University of Singapore
Email: hwchoi [ at ] nus.edu.sg
HC is an editorial board member at Molecular Omics, formerly Molecular Biosystems -- feel free to discuss submission of your manuscript.