Constructing High Resolution Consensus Spectra for a Peptide Library

Previous libraries of tandem mass spectra of peptides were derived from unit mass resolution spectra and these libraries were composed of “consensus” spectra. Each consensus spectrum was derived from a group of individual experimental replicates with the aim of reducing noise and improving quality. In this talk we consider methods for building consensus spectra from high mass accuracy fragmentation. Related problems of proteomics will also be discussed such as annotation of high resolution spectra, noise reduction, discovery and removal of artifact peaks, clustering of experimental spectra.

Speaker Bio: Dr. Sheetlin is currently a Mathematical Statistician at the NIST Mass Spectrometry Data Center in the Biomolecular Measurement Division of the National Institute of Standards and Technology. Previously he was a Staff Scientist at the National Center for Biotechnology Information, U.S. National Library of Medicine, a branch of the National Institutes of Health and worked in the field of Statistical Computational Biology. He completed his Ph.D. at the Lomonosov Moscow State University where he developed mathematical models in laser physics.

Presentation Slides: PPT

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