Author

Agathe Niewienda

Berlin Institute of Health at Charité - Universitätsmedizin BerlinORCID 0000-0002-0993-1026Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Markus RalseriD· 2 shared Michael MüllederiD· 2 shared Alexey I. NesvizhskiiiD· 1 shared Anyi YangiD· 1 shared Boris M. ZühlkeiD· 1 shared Christoph Gille· 1 shared Daniela Ludwig· 1 shared Fatma Amari· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiochemistry

Markus RalserORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A draft atlas of the human plasma proteome at isoform resolution

Boris M. Zühlke, Torsten Schwecke, Tal Shapira, Agathe Niewienda, Anyi Yang, Fatma Amari, Kathrin Textoris‐Taube, Ludwig Roman Sinn, Karola Lehmann, Christoph Gille, Martin Vingron, Michael Mülleder, Markus Ralser

The paper creates a proteoform-resolved atlas of the human plasma proteome, revealing extensive proteoform diversity and highlighting discrepancies between proteomic platforms.

bioRxiv · Sep 28, 2026 · PreprintBiochemistry

High sensitivity dia-PASEF proteomics with DIA-NN and FragPipe

Vadim Demichev, Łukasz Szyrwiel, Fengchao Yu, Guo Ci Teo, George Rosenberger, Agathe Niewienda, Daniela Ludwig, Jens Decker, Stephanie Kaspar‐Schoenefeld, Kathryn Susan Lilley, Michael Mülleder, Alexey I. Nesvizhskii, Markus Ralser

The paper demonstrates improved proteomic depth using DIA-NN and FragPipe for dia-PASEF data, achieving higher sensitivity and quantification in complex samples.

Nature Communications · Jul 8, 2022Peer-reviewedBioinformatics