Author

Nils Hoffmann

Forschungszentrum JülichORCID 0000-0002-6540-6875Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:software / tool· 4 Research Focus:database / resource· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:metabolomics· 2 Assay:proteomics· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Chris BielowiD· 2 shared David Jimenez‐MoralesiD· 2 shared David L. TabbiD· 2 shared Dominik KopczynskiiD· 2 shared Mathias WalzeriD· 2 shared Tim Van Den BosscheiD· 2 shared Wout BittremieuxiD· 2 shared Bing PengiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Chris BielowORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

mzQC: a versatile way to communicate quality information for biological mass spectrometry

Chris Bielow, Mathias Walzer, Nils Hoffmann, Julian Uszkoreit, Fatemeh Mirzadeh Sarcheshmeh, Franziska Nicolaus, Lars Andernach, Patrick Boschmann, Bo Burla, Eralp Doğu, Martin Eisenacher, Yasin El Abiead, David Jimenez‐Morales, Steffen Neumann, Yasset Pérez‐Riverol, , Wout Bittremieux

The paper introduces mzQC, a standard for representing quality control metrics in mass spectrometry, enabling interoperable and machine-readable QC reporting.

bioRxiv · Oct 8, 2026 · PreprintBioinformatics

Communicating mass spectrometry quality information in mzQC with Python, R, and Java

Chris Bielow, Nils Hoffmann, David Jimenez‐Morales, Tim Van Den Bossche, Juan Antonio Vizcaíno, David L. Tabb, Wout Bittremieux, Mathias Walzer

The paper presents open-source software libraries for processing mzQC data in Python, R, and Java, enabling QC analysis and integration in mass spectrometry workflows.

bioRxiv · May 6, 2024 · PreprintBioinformatics

LORA, Lipid Over-Representation Analysis based on structural information

Michaela Vondráčková, Dominik Kopczynski, Nils Hoffmann, Ondřej Kuda

LORA analyzes lipidomic data to identify overrepresented lipids using standardized nomenclature and hierarchical structure, providing insights into molecular composition.

Analytical Chemistry · Aug 16, 2023Peer-reviewedBioinformatics

BioModelsML: Building a FAIR and reproducible collection of machine learning models in life sciences and medicine for easy reuse

Divyang Deep Tiwari, Nils Hoffmann, Kieran Didi, Sumukh Deshpande, Sucheta Ghosh, Tung V. N. Nguyen, Karthik Raman, Henning Hermjakob, Rahuman S. Malik‐Sheriff

This paper introduces a protocol to create a FAIR collection of machine learning models in life sciences and medicine, aiming to improve reproducibility and reuse through community curation.

bioRxiv · May 22, 2023 · PreprintBioinformatics

Goslin - A Grammar of Succinct Lipid Nomenclature

Dominik Kopczynski, Nils Hoffmann, Bing Peng, Robert Ahrends

Goslin simplifies lipid name handling by unifying lipid nomenclature dialects and providing implementations in multiple programming languages.

Analytical Chemistry · Jun 26, 2020Peer-reviewedBioinformatics