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Blood samples will be analyzed for their protein content using a recently developed method called direct and label-free quantitative analysis by liquid chromatography/mass spectrometry (LC/MS), which is available at the Indiana University School of Medicine Protein Analysis and Research Center.

Data Analysis

Data analysis is done using data generated by mass spectroscopy. There are many research topics with many approaches that are being developed and refined. Analyzing these large data sets is important and requires close collaboration between the clinical researchers and the mathematicians. Even though standard statistical methods can be used to analyze the data, these ignore the knowledge we already have on these proteins. By applying computational methods that take already known information into account, researchers are more successful in finding relevant biomarkers in these large datasets.

Data Integration

The vast explosion of the amount of information available from these studies requires new ways to support data management. This is done by investigators at the Regenstrief Institute, Inc., an internationally recognized informatics research organization with the largest and most comprehensive medical informatics laboratories in the world.

Data Visualization

We are in collaboration with investigators at the Regenstrief Institute and the School of Library and Information Science at Indiana University-Bloomington to develop a biomedical visualization software toolkit that will allow clinicians to better explore and understand datasets.