What's driving false discovery rates?
The "Paris Guidelines" have begun the process of standardizing reporting for proteomics. New bioinformatics tools have improved the process for estimating error rates of peptide identifications. This perspective seeks to consider these advances in the context of proteomics' short history. As increasing numbers of proteomics papers come from biologists rather than technologists, developing consensus standards for estimating error will be increasingly necessary. Standardizing this assessment should be welcomed as a reflection of the growing impact of proteomic technologies.
Tabb
David L
DL
Department of Biomedical Informatics and Biochemistry, Vanderbilt University, Nashville, Tennessee 37232-8575, USA. david.l.tabb@vanderbilt.edu
D000465:Algorithms; D030562:Databases, Protein; D015233:Models, Statistical; D010455:Peptides / Q000032:analysis*; D053719:Tandem Mass Spectrometry / Q000379:methods*
D010455:Peptides