AuDeNS: A Tool for Automatic De Novo Peptide Sequencing

Abstract

We have developed and implemented a framework for de novo sequencing of peptides using tandem mass spectrometry data. It first cleans the input spectrum with a number of data cleaning algorithms (“grass mowers”), followed by a sequencing algorithm that is a modification of a dynamic programming algorithm introduced in [CKT00]. In first experiments, our prototype performs well (but not better) in comparison with Sequest, a frequently used software for peptide identification with database–lookup, and Lutefisk, a de novo peptide identification tool. In this paper, we present first results in the development of an efficient de novo sequencing tool.

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Cite this paper

@inproceedings{Baginsky2002AuDeNSAT, title={AuDeNS: A Tool for Automatic De Novo Peptide Sequencing}, author={Sacha Baginsky and Mark Cieliebak and Wilhelm Gruissem and Torsten Kleffmann and Zsuzsanna Lipt{\'a}k and Matthias Mueller and Paolo Penna}, year={2002} }