Julien Gagneur

6 papers in the catalog · Germany

Julien Gagneur: 6 papers in the catalog · Germany · Helmholtz Center Munich, Technical University of Munich · Works on Living proteomics benchmark, Modanovo, PepPr

Affiliations

Helmholtz Center Munich · Computational Health Center
Technical University of Munich · Computational Molecular Medicine, School of Computation, Information and Technology
Technical University of Munich · Department of Informatics
Technical University of Munich · Institute of Human Genetics, School of Medicine
Technical University of Munich · Institute of Human Genetics, School of Medicine and Health
Technical University of Munich · Munich Data Science Institute
Technical University of Munich · TUM School of Computation, Information and Technology

Elsewhere

ORCID 0000-0002-8924-8365 · OpenAlex

Papers

PepPr: De Novo peptide sequencing with peptide priors (2026, bioRxiv)
A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
Modanovo: A Unified Model for Post-translational Modification-Aware De Novo Sequencing Using Experimental Spectra From In Vivo and Synthetic Peptides (2025, Molecular & Cellular Proteomics)
Modanovo: A Unified Model for Post-Translational Modification-Aware de Novo Sequencing Using Experimental Spectra from In Vivo and Synthetic Peptides (2025, bioRxiv)
Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2024, Nature Communications)
Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2023, bioRxiv)

Methods and tools

Living proteomics benchmark, Modanovo, PepPr, Spectralis

Co-authors (60)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

Daniela Klaproth-Andrade strength 0.92, 6 shared
Mathias Wilhelm strength 0.92, 6 shared
Yanik Bruns strength 0.70, 4 shared
Jakob Träuble strength 0.37, 2 shared
Johannes Hingerl strength 0.37, 2 shared
Nicholas H. Smith strength 0.37, 2 shared
Christian Nix strength 0.30, 3 shared
Andreas Pichlmair strength 0.29, 2 shared
Valter Bergant strength 0.29, 2 shared
Wassim Gabriel strength 0.29, 2 shared
Samuel Khan strength 0.25, 1 shared
Alfred Nilsson strength 0.02, 1 shared
Baozhen Shan strength 0.02, 1 shared
Benjamin A. Neely strength 0.02, 1 shared
Bin Ma strength 0.02, 1 shared
Ceder Dens strength 0.02, 1 shared
Charlotte Adams strength 0.02, 1 shared
Cheng Chang strength 0.02, 1 shared
Cheng Ge strength 0.02, 1 shared
Chenyu Yao strength 0.02, 1 shared
Di Zhang strength 0.02, 1 shared
Ekapol Chuangsuwanich strength 0.02, 1 shared
Guillaume Deflandre strength 0.02, 1 shared
Haipeng Wang strength 0.02, 1 shared
Haixu Tang strength 0.02, 1 shared
Jeroen Van Goey strength 0.02, 1 shared
Jingbo Zhou strength 0.02, 1 shared
Joel Lapin strength 0.02, 1 shared
Jun Xia strength 0.02, 1 shared
Kaiyuan Liu strength 0.02, 1 shared
Konstantinos Kalogeropoulos strength 0.02, 1 shared
Laurent Gatto strength 0.02, 1 shared
Lei Xin strength 0.02, 1 shared
Lukas Käll strength 0.02, 1 shared
Marina Pominova strength 0.02, 1 shared
Melih Yilmaz strength 0.02, 1 shared
Michael R. Shortreed strength 0.02, 1 shared
Ming Li strength 0.02, 1 shared
Qingyang Xiao strength 0.02, 1 shared
Qixin Liu strength 0.02, 1 shared

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