Hannes L. Röst

According to our database, Hannes L. Röst authored at least 15 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction.

Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Russell Greiner, Hannes Rost

Trans. Mach. Learn. Res., 2025

2024

Tandem mass spectrum prediction for small molecules using graph transformers.

Adamo Young, Hannes L. Röst, Bo Wang

Nat. Mac. Intell., 2024

OpenMS WebApps: Building User-Friendly Solutions for MS Analysis.

Tom David Müller, Arslan Siraj, Axel Walter, Jihyung Kim, Samuel Wein, Johannes von Kleist, Ayesha Feroz, Matteo Pilz, Kyowon Jeong, Justin Cyril Sing, Joshua Charkow, Hannes L. Röst, Timo Sachsenberg

CoRR, 2024

FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction.

Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Hannes L. Röst, Russ Greiner

CoRR, 2024

MassSpecGym: A benchmark for the discovery and identification of molecules.

Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Liping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J. J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomás Pluskal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers.

Adamo Young, Bo Wang, Hannes L. Röst

CoRR, 2021

mspack: efficient lossless and lossy mass spectrometry data compression.

Felix Hanau, Hannes L. Röst, Idoia Ochoa

Bioinform., 2021

2020

Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers.

Leon L. Xu, Hannes L. Röst

CoRR, 2020

2018

Recommendations for the packaging and containerizing of bioinformatics software.

Björn A. Grüning, Olivier Sallou, Pablo A. Moreno, Felipe da Veiga Leprevost, Hervé Ménager, Dan Søndergaard, Hannes L. Röst, Timo Sachsenberg, Brian O'Connor, Fábio Madeira, Victoria Dominguez Del Angel, Michael R. Crusoe, Susheel Varma, Daniel J. Blankenberg, Rafael C. Jiménez, Daniel Blankenberg, Yasset Pérez-Riverol

F1000Research, 2018

2017

BioContainers: an open-source and community-driven framework for software standardization.

Felipe da Veiga Leprevost, Björn A. Grüning, Saulo Aflitos, Hannes L. Röst, Julian Uszkoreit, Harald Barsnes, Marc Vaudel, Pablo A. Moreno, Laurent Gatto, Jonas Weber, Mingze Bai, Rafael C. Jiménez, Timo Sachsenberg, Julianus Pfeuffer, Roberto Vera Alvarez, Johannes Griss, Alexey I. Nesvizhskii, Yasset Pérez-Riverol

Bioinform., 2017

2016

Chapter 10. Data Analysis for Data Independent Acquisition.

Pedro Navarro, Marco Trevisan-Herraz, Hannes L. Röst

Proceedings of the Proteome Informatics, 2016

2015

Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition.

Lin-Yang Cheng, Yansheng Liu, Ching-Yun Chang, Hannes L. Röst, Ruedi Aebersold, Olga Vitek

BMC Bioinform., 2015

DIANA - algorithmic improvements for analysis of data-independent acquisition MS data.

Johan Teleman, Hannes L. Röst, George Rosenberger, Uwe Schmitt, Lars Malmström, Johan Malmström, Fredrik Levander

Bioinform., 2015

Efficient visualization of high-throughput targeted proteomics experiments: TAPIR.

Hannes L. Röst, George Rosenberger, Ruedi Aebersold, Lars Malmström

Bioinform., 2015

2014

aLFQ: an R-package for estimating absolute protein quantities from label-free LC-MS/MS proteomics data.

George Rosenberger, Christina Ludwig, Hannes L. Röst, Ruedi Aebersold, Lars Malmström

Bioinform., 2014