Bioinformatics 551: Proteome Informatics 3 Credit Hours. TTh 1 – 2:30, 2062 Palmer Commons

A detailed introduction to proteomics and large scale protein data analysis, concentrating on protein identification by mass spectrometry. What are the experimental types, and the public data resources which are or will soon be available for studying the protein content of a cell at the whole genome scale? The course will be a mixture of lectures and seminar readings of selected papers. It will include detailed background on experimental procedures for protein separation and mass spectroscopy, methods of data analysis and handling, and medical applications and challenges. The course will focus largely on topics of current interest among UM scientists. Faculty (tentative): Phil Andrews (Biological Chemistry), Nick Bergman (Microbiology), Tom Blackwell (Bioinformatics), Dan Burns (Mathematics), Arul Chinnaiyan (Pathology), Kristina Hakansson (Chemistry), David Lubman (Surgery), George Michailidis (Statistics), Alexei Nesvizhskii (Pathology), Gil Omenn (Human Genetics, Internal Medicine, Public Health), David States (Human Genetics), Curt Wilkerson (Genomics, MSU). Topics will include the following: Introduction and motivation, techniques of protein mass spectrometry, separations: liquid chromatography and 2-D gel electrophoresis, database searching, de novo peptide sequencing, recent history of data resources for proteomics, protein-based disease markers, identifying post-translational modifications, correspondence between mRNA abundances and protein abundances, and the Human Proteome Organization (HUPO) survey of blood plasma proteins. Administrative Contact: Jacki Troy (jtroy@umich.edu).

New Course

Prof Athey will be organizing a 1 credit literature course in reading some classic papers in bioinformatics. It will be a natural follow-up to the BI 526 of last term. All BI students are qualified.

If interested, email your name to Jacki Troy(jtroy@umich.edu).