<p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p> <p>We describe a probabilistic peptide fragmentation model for use in protein databank
searching and <italic>de novo</italic> sequencing of electrospray tandem mass spectrometry data. A
probabilistic framework for tuning of the model using a range of well-characterized
samples are introduced. We present preliminary results of our tuning efforts.</p>
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Comp Funct Genomics. 2004 Feb; 5(1):61-68