Accurate and Sensitive Peptide Identification with Mascot Percolator
Accurate and Sensitive Peptide Identification with Mascot Percolator is a scholarly work by Tim Hubbard, Jyoti Choudhary, and Markus Brosch, published in 2009 in ''Journal of Proteome Research''. The main subjects of the publication include mass spectrometry, computer science, artificial intelligence, database search engine, metabolomics, tandem mass spectrometry, software, data mining, mascot, and identification. The authors present a software package that interfaces Mascot with Percolator, a well performing machine learning method for rescoring database search results, and demonstrate it to be amenable for both low and high accuracy mass spectrometry data, outperforming all available Mascot scoring schemes as well as providing reliable significance measures.