AUDENS: A Tool for Automated Peptide de Novo Sequencing

peer-reviewed · Journal of Proteome Research · 2005

peer-reviewed · Journal of Proteome Research · 2005. Jonas Grossmann et al. We present AUDENS, a new platform-independent open source tool for automated de novo sequencing of peptides…
Date 2005-10-01
Type peer-reviewed
Venue Journal of Proteome Research
Publisher American Chemical Society (ACS)
Contribution algorithm
DOI 10.1021/pr050070a
Citations (OpenAlex) 78
Venue 2-year citedness 3.48

Abstract

We present AUDENS, a new platform-independent open source tool for automated de novo sequencing of peptides from MS/MS data. We implemented a dynamic programming algorithm and combined it with a flexible preprocessing module which is designed to distinguish between signal and other peaks. By applying a user-defined set of heuristics, AUDENS screens through the spectrum and assigns high relevance values to putative signal peaks. The algorithm constructs a sequence path through the MS/MS spectrum using the peak relevances to score each suggested sequence path, i.e., the corresponding amino acid sequence. At present, we consider AUDENS a prototype that unfolds its biggest potential if used in parallel with other de novo sequencing tools. AUDENS is available open source and can be downloaded with further documentation at http://www.ti.inf.ethz.ch/pw/software/audens/ .

Authors

  1. Jonas Grossmann · Bielefeld University, ETH Zurich
  2. Franz F. Roos · Bielefeld University, ETH Zurich
  3. Mark Cieliebak · Bielefeld University, ETH Zurich
  4. Zsuzsanna Lipták · Bielefeld University, ETH Zurich
  5. Lucas K. Mathis · Bielefeld University, ETH Zurich
  6. Matthias Müller · Bielefeld University, ETH Zurich
  7. Wilhelm Gruissem · Bielefeld University, ETH Zurich
  8. Sacha Baginsky · Bielefeld University, ETH Zurich

Methods and tools

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

Cites (2)

Cited by (16)

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