Author

Jes Søe Pedersen

University of CopenhagenORCID 0000-0002-4439-2638Unclaimed 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

Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:multiple species· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Heikki HelanteräiD· 2 shared Abel BernadouiD· 1 shared Adrian RichteriD· 1 shared Alexandre Casadei‐FerreiraiD· 1 shared Ana Ješovnik· 1 shared András Tartally· 1 shared Arthur MatteiD· 1 shared Bálint MarkóiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 papersZoology

Heikki HelanteräORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

ZoologyNature MethodsPeer-reviewedMar 1, 2026

✦ In-depth digest

High-throughput phenomics of global ant biodiversity

Julian Katzke, Francisco Hita Garcia, Philipp D. Lösel…·Thomas van de Kamp

Antscan provides 2,193 standardized whole-body 3D synchrotron micro-CT datasets across 792 ant species (212 genera), pairing morphological volumes with automated deep-learning segmentation and genome sequencing projects.

6 citationstop 1%

multiple speciesimaging

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 29, 2024

Population Genomics of the Invasive Argentine Ant (Linepithema humile) - Adaptive Evolution in Introduced Supercolonies Despite Low Genetic Diversity

Ida Päkkilä, Jenni Paviala, Jes Søe Pedersen…·Lumi Viljakainen

This study identifies positive selection and adaptive evolution in invasive Argentine ant supercolonies despite low genetic diversity and founder effects.

DOI 10.1101/2024.10.29.620798

whole-genome sequencingstatistical model

𝕏 PostBluesky