Author

Alexander Hogrebe

University of WashingtonORCID 0000-0002-0203-6803Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Judit VilléniD· 2 shared Alexandre K. DubéiD· 1 shared Alexis T. ChangiD· 1 shared Anthony S. BarenteiD· 1 shared Ariadna Llovet· 1 shared Bernhard KüsteriD· 1 shared Christian R. LandryiD· 1 shared Daniel Paul ZolgiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersSystems Biology

Judit VillénORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Unifying the analysis of bottom-up proteomics data with CHIMERYS

Martin Frejno, Michelle T. Berger, Johanna Tüshaus, Alexander Hogrebe, Florian Seefried, Michael Graber, Patroklos Samaras, Samia Ben Fredj, Vishal Sukumar, Layla Eljagh, Igor Bronshtein, Lizi Mamisashvili, Markus Schneider, Siegfried Gessulat, Tobias Schmidt, , Mathias Wilhelm

CHIMERYS deconvolves chimeric spectra in proteomic data, enabling unified analysis across DDA, DIA, and PRM experiments by accurately identifying and quantifying multiple peptides per spectrum.

Nature Methods · Apr 22, 2025Peer-reviewedBiochemistry

The fitness cost of spurious phosphorylation

David T. Carreon Bradley, Alexander Hogrebe, Rohan Dandage, Alexandre K. Dubé, Mario Leutert, Ugo Dionne, Alexis T. Chang, Judit Villén, Christian R. Landry

The paper quantifies the fitness cost of spurious phosphorylation in yeast by expressing tyrosine kinases and analyzing phosphoproteomes, finding a strong correlation between spurious phosphorylation and decreased growth.

The EMBO Journal · Sep 10, 2024Peer-reviewedSystems Biology

Coisolation of peptide pairs for peptide identification and MS/MS-based quantification

Ian R.L. Smith, Jimmy K. Eng, Anthony S. Barente, Alexander Hogrebe, Ariadna Llovet, Ricard A. Rodríguez‐Mias, Judit Villén

The paper introduces a method to coisolate and fragment SILAC peptide pairs for improved identification and quantification in MS/MS-based proteomics.

Analytical Chemistry · Oct 28, 2022Peer-reviewedSystems Biology