AUDENS: A Tool for Automated Peptide de Novo Sequencing
peer-reviewed · Journal of Proteome Research · 2005
| 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) | 79 |
| Venue 2-year citedness | 3.83 |
Preprint version: AuDeNS: A tool for automatic De Novo peptide sequencing (2002-01-01, Repository for Publications and Research Data (ETH Zurich))
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/ .
Methods and tools
- AUDENS: Open-source automated de novo sequencing tool with preprocessing and dynamic programming over MS/MS spectra.
Cites (3)
- PepNovo: de novo peptide sequencing via probabilistic network modeling (2005) crossref
- De novo sequencing, peptide composition analysis, and composition-based sequencing: A new strategy employing accurate mass determination by Fourier transform ion cyclotron resonance mass spectrometry (2004) crossref
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- De Novo Sequencing of Peptides from Tandem Mass Spectra and Applications in Proteogenomics (2024) crossref
- NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics (2024) semanticscholar
- Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model (2023) both
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- Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification? (2017) crossref
- Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics (2016) crossref
- Peptide de novo sequencing of mixture tandem mass spectra (2016) both
- UVnovo: A de Novo Sequencing Algorithm Using Single Series of Fragment Ions via Chromophore Tagging and 351 nm Ultraviolet Photodissociation Mass Spectrometry (2016) both
- Application of de novo sequencing tools to study abiogenic peptide formations by tandem mass spectrometry. The case of homo‐peptides from glutamic acid complicated by substitutions of hydrogen by sodium or potassium atoms (2014) crossref
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- Tutorial on de novo peptide sequencing using MS/MS mass spectrometry (2012) crossref
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- ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity (2011) both
- Algorithm Development of de novo Peptide Sequencing Via Tandem Mass Spectrometry (2010) crossref
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- ON PREPROCESSING AND ANTISYMMETRY IN DE NOVO PEPTIDE SEQUENCING: IMPROVING EFFICIENCY AND ACCURACY (2008) crossref
- A workflow to increase the detection rate of proteins from unsequenced organisms in high‐throughput proteomics experiments (2007) crossref
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- Protein primary structure using orthogonal fragmentation techniques in Fourier transform mass spectrometry (2006) crossref
- Proteomics-Grade de Novo Sequencing Approach (2005) crossref