Bioinformatic analysis of experimental and clinical proteomic data

Abstract

SummaryProteomics, along with other omics, can be utilized as a tool of personalized medicine in order to understand the individual needs of patients better based on their expression levels of proteins. This type of personalized approaches are likely to be much more common in the future, since new diagnostic and therapeutic methods are constantly being developed and there is already currently a great need to select the most cost‐effective ones for each patient. For these reasons, a lot of effort is currently going into finding potential biomarkers through discovery studies. In addition to sample processing and advanced equipment, proteomic research also requires the work of statisticians and bioinformaticians as the research methods produce a growing amount of statistical data. Hence, methods of analyzing big data are also increasingly important and therefore researchers in bioinformatics field are both developing new methods and utilizing old ones in order to tackle the growing data. This course will focus on some of the most basic aspects of bioinformatics analysis of proteomic data and is aimed to provide clinicians and other researchers alike better understanding of the aspects important to the analysis.