Statistical analysis and visualization of mass spectrometry data using R

Title

Statistical analysis and visualization of mass spectrometry data using R

Files

Download Joseph Hennessey Original Presentation File (993 KB)

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Publication Date

Summer 8-6-2020

College, Institute, or Department

MD/PhD Scholars Program

Faculty Mentor

Rebekah L. Gundry

Research Mentor

Linda Luecke

Document Type

Poster

Abstract

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.

Keywords

Mass spectrometry, visualization, proteomics

Statistical analysis and visualization of mass spectrometry data using R

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