Statistical analysis and visualization of mass spectrometry data using R
Download Joseph Hennessey Original Presentation File (993 KB)
College, Institute, or Department
MD/PhD Scholars Program
Rebekah L. Gundry
Mass spectrometry (MS) identifies the mass-to-charge ratio of ions. In proteomic research, MS can be used to identify proteins in a sample by digesting proteins into peptides, ionizing the peptides, then detecting the peptides and fragments of peptides via a mass spectrometer. However, most proteomic experiments identify large numbers of proteins and at times it can be difficult to efficiency communicate results of large datasets. Therefore, we sought to apply various visualization techniques in R to allow for fast and effective processing of large MS datasets.
Mass spectrometry, visualization, proteomics
Hennessey, Joseph; Berg Luecke, Linda; and Gundry, Rebekah, "Statistical analysis and visualization of mass spectrometry data using R" (2020). Posters: 2020 Summer Undergraduate Research Program. 14.