Michael Hoopmann

Joined Program: 2004
Previous Degree: B.S. Biology, College of New Jersey
MacCoss Lab
hoopmann (at) u.washington.edu

Research:
My research is centered on the development of software technology for mass spectrometry data analysis that improves the efficiency and types of analysis that can be performed. My research includes novel, rapid analysis of labeled and unlabeled peptide isotope distributions using software that I have written, named Hardklör. Ongoing research will focus on developing novel technologies aided by this software.

Applications of Hardklör currently being investigated include peptide identification from accurate mass and retention time (AMT analysis), isotopic labeling and identification of N-linked glycosylation sites in Saccharomyces cerevisiae proteins, and novel methods for identifying protein complex structure in conjunction with the Davis Lab (Biochemistry Department).