RAId deNovo: giving the score distribution of all possible peptides for statistical inference in peptide identifications

نویسندگان

  • Gelio Alves
  • Aleksey Ogurtsov
  • Yi-Kuo Yu
چکیده

Summary: A major challenge in mass-spectrometry-based proteomics is the peptide identification statistics problem. As a tool designed to tackle this issue, RAId deNovo can generate, for a given tandem mass spectrum, the score distribution resulting from scoring all possible peptides under a certain class of scoring functions. This valuable information may aid development of a better measure for assigning statistical significance to the peptide candidates. Using a novel algorithm, RAId deNovo keeps track of the score distribution together with the associated peptide lengths for each score, providing proper score normalization. Availability: The webserver link is http://www.ncbi.nlm.nih.gov/ /CBBResearch/qmbp/raid denovo/index.html. Relevant binaries for Linux, Windows, and Mac OS X are available from the same page. Contact: [email protected]

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تاریخ انتشار 2009