Analysis and validation of proteomic data generated by tandem mass spectrometry.
The analysis of the large amount of data generated in mass spectrometry-based proteomics experiments represents a significant challenge and is currently a bottleneck in many proteomics projects. In this review we discuss critical issues related to data processing and analysis in proteomics and describe available methods and tools. We place special emphasis on the elaboration of results that are supported by sound statistical arguments.
Nesvizhskii
Alexey I
AI
University of Michigan, Department of Pathology and Center for Computational Medicine and Biology, Ann Arbor, Michigan 48105, USA.
Vitek
Olga
O
Aebersold
Ruedi
R
D030562:Databases, Protein; D007553:Isotope Labeling; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods; D053719:Tandem Mass Spectrometry / Q000379:methods*; D054928:Validation Studies as Topic