MSI PI Nicholas Jordan (professor, Agronomy and Plant Genetics) is the lead author on a recent paper, published in EM

Proteomics Mass Spectrometry Data Analysis

Introduction to common techniques for the analysis and quantitation of proteomics mass spectrometry ("mass spec") data.  Topics covered will include the concept of Peptide-Spectra Matching (PSM) versus de novo sequencing, as well as the application of commonly used algorithms such as Andromeda (Maxquant), Comet (Sequest), and Mascot.  Key parameters for different search engines will be discussed along with the statistical significance of their respective outputs.  Statistics for these data types - and how quantitation can be done for different experimental setups - will be discussed in the

Analyzing ChIP-Seq Data using Galaxy

This practical, hands-on tutorial is designed to give participants experience with ChIP-Seq data analysis using the Galaxy platform. The analysis in this tutorial is typical of experiments using ChIP-Seq data to identify transcription factor binding sites in eukaryotic, high quality genomes.


The U was recognized by the White House Office of Science and Technology Policy (OSTP) for its contributions to the study of microbiomes.