Author

Alexander G. B. Grønning

University of CopenhagenORCID 0000-0002-9529-6988Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Camilla Charlotte ScheeleiD· 2 shared Jan BaumbachiD· 2 shared Anne-Mette Hartung· 1 shared Brage Storstein AndreseniD· 1 shared Dietmar ZehniD· 1 shared Gitte Hoffmann BruuniD· 1 shared Jesper LundiD· 1 shared Kristiyan KaneviD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 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 papersBioinformatics

Camilla Charlotte ScheeleORCID

Author profile →

4 papers

Recent·Most cited

PepHammer - a lightweight web-based tool for bioactive peptide matching and identification

Alexander G. B. Grønning, Camilla Charlotte Scheele

PepHammer is a web-based tool that identifies bioactive peptides by comparing user input against databases of peptides with known bioactivities and tissue associations.

bioRxiv · Apr 15, 2026 · PreprintBioinformatics

BioTrendFinder - an interactive web tool for exploring functional drivers in gene- and protein-level bulk omics data

Alexander G. B. Grønning, Camilla Charlotte Scheele

BioTrendFinder is a web tool that identifies functional drivers in bulk omics data by integrating sample-ranking, statistical results, and functional information for hypothesis-driven and exploratory analysis.

bioRxiv · Apr 14, 2026 · PreprintBioinformatics

DeepCLIP: Predicting the effect of mutations on protein-RNA binding with Deep Learning

Alexander G. B. Grønning, Thomas Koed Doktor, Simon J. Larsen, Ulrika Simone Spangsberg Petersen, Lise Lolle Holm, Gitte Hoffmann Bruun, Michael Birkerod Hansen, Anne-Mette Hartung, Jan Baumbach, Brage Storstein Andresen

DeepCLIP predicts the functional effects of nucleotide variants on protein-RNA binding using sequence data and outperforms existing methods in classification and experimental validation.

Nucleic Acids Research · Jun 10, 2020Peer-reviewedBioinformatics

Comparative single-cell trajectory network enrichment identifies pseudo-temporal systems biology patterns in hematopoiesis and CD8 T-cell development

Alexander G. B. Grønning, Mhaned Oubounyt, Kristiyan Kanev, Jesper Lund, Tim Kacprowski, Dietmar Zehn, Richard Röttger, Jan Baumbach

The paper introduces Scellnetor, a tool to identify systems biology patterns in pseudo-temporal trajectories from scRNA-seq data, applied to hematopoiesis and CD8 T-cell development.

bioRxiv · Apr 2, 2020 · PreprintBioinformatics