Ressom Lab is a research group at Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center. Its goal is to develop computational tools for omic data analysis and apply them for biomarker discovery and systems biology research. Our biomarker discovery pipeline involves experimental design, sample collection, sample storage, sample preparation, omic data acquisition, data preprocessing, statistical analysis, biomarker identification, and validation. Also, we investigate computational methods for integrative analysis of multiple omic data to identify aberrant pathways and network activities. While our computational group is engaged in developing signal processing, statistical, and machine learning methods for analysis of omic data, our wet lab is focused on collection, storage, processing, and mass spectrometric analysis of blood and tissues. The laboratory is funded by grants from the National Institutes of Health (NIH) to develop computational tools for mass spectrometric data analysis and to find and validate biomarkers for early detection of hepatocellular carcinoma. We collaborate with clinicians, basic scientists, computational scientists, and experts in mass spectrometry, genomics, proteomics, metabolomics, and glycomics.