title: Computational and statistical analysis of protein mass spectrometry data.
abstract: High-throughput proteomics experiments involving tandem mass spectrometry produce large volumes of complex data that require sophisticated computational analyses. As such, the field offers many challenges for computational biologists. In this article, we briefly introduce some of the core computational and statistical problems in the field and then describe a variety of outstanding problems that readers of PLoS Computational Biology might be able to help solve.
authors.affiliation: Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America. william-noble@uw.edu
authors.forename: William Stafford
authors.initials: WS
authors.lastname: Noble
authors.forename: Michael J
authors.initials: MJ
authors.lastname: MacCoss
mesh_terms: D019295:Computational Biology / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics
chemical_list: D011506:Proteins