AuDeNS: A tool for automatic De Novo peptide sequencing

preprint · Repository for Publications and Research Data (ETH Zurich) · 2002

preprint · Repository for Publications and Research Data (ETH Zurich) · 2002. Sacha Baginsky et al. We have developed and implemented a framework for de novo sequencing of peptides using tandem mass…
Date 2002-01-01
Type preprint
Venue Repository for Publications and Research Data (ETH Zurich)
Contribution algorithm
DOI 10.3929/ethz-a-006665707
Citations (OpenAlex) 9

Peer-reviewed version: AUDENS: A Tool for Automated Peptide de Novo Sequencing (2005-10-01, Journal of Proteome Research)

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 modifica tion 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.

Authors

  1. Sacha Baginsky · Bielefeld University, ETH Zurich
  2. Mark Cieliebak · Bielefeld University, ETH Zurich
  3. Wilhelm Gruissem · Bielefeld University, ETH Zurich
  4. Kleffmann, Torsten
  5. Zsuzsanna Lipták · Bielefeld University, ETH Zurich
  6. Müller, Matthias
  7. Penna, Paolo

Methods and tools

  • AUDENS: Open-source automated de novo sequencing tool with preprocessing and dynamic programming over MS/MS spectra.

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