ETH Zurich
Zurich, Switzerland · 26 authors
ETH Zurich (Zurich, Switzerland): 26 authors and 12 papers in the de novo peptide sequencing catalog.
Departments
- Department of Biology
- Department of Biology, Institute of Molecular Systems Biology
- Department of Computer Science
- Institute of Computational Science, Institute of Plant Sciences, and Institute of Theoretical Computer Science
- Institute of Plant Science
- Institute of Theoretical Computer Science
Papers (12)
- AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
- Improved de novo peptide sequencing using LC retention time information (2018, Algorithms for Molecular Biology)
- A better scoring model for de novo peptide sequencing: the symmetric difference between explained and measured masses (2017, Algorithms for Molecular Biology)
- SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics (2017, Scientific Reports)
- A workflow to increase the detection rate of proteins from unsequenced organisms in high‐throughput proteomics experiments (2007, PROTEOMICS)
- Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions (2006, Lecture Notes in Computer Science)
- NovoHMM: A Hidden Markov Model for de Novo Peptide Sequencing (2005, Analytical Chemistry)
- AUDENS: A Tool for Automated Peptide de Novo Sequencing (2005, Journal of Proteome Research)
- Database independent detection of isotopically labeled MS/MS spectrum peptide pairs (2005, Journal of Chromatography B)
- A Hidden Markov Model for de Novo Peptide Sequencing (2004, NIPS 2004)
- AuDeNS: A tool for automatic De Novo peptide sequencing (2002, Repository for Publications and Research Data (ETH Zurich))
- Differential stable isotope labeling of peptides for quantitation and de novo sequence derivation (2001, Rapid Communications in Mass Spectrometry)