Author

T. S. Korneliussen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1

Frequent Co-Authors

E. Willerslev· 2 shared M. Sikora· 2 shared A. Fernandez-Guerra· 1 shared A. H. Ruter· 1 shared A. Jochheim· 1 shared A. K. N. Iversen· 1 shared A. M. Eren· 1 shared A. P. Armen· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

E. Willerslev

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MicrobiologybioRxivPreprintJun 10, 2023

Two-million-year-old microbial communities from the Kap Kobenhavn Formation in North Greenland

A. Fernandez-Guerra, L. Wörmer, G. Borrel…·E. Willerslev

This paper reconstructs microbial communities from 2-million-year-old permafrost in Greenland, finding similarities to modern thawing permafrost microbes and suggesting microbial communities may signal climate change impacts before plants and animals.

DOI 10.1101/2023.06.10.544454

metagenomicsstatistical model

𝕏 PostBluesky

Evolutionary BiologybioRxivSep 23, 2022

Elevated genetic risk for multiple sclerosis originated in Steppe Pastoralist populations

W. Barrie, Y. Yang, E. Irving-Pease…·E. Willerslev

This study identifies the origin of genetic risk variants for multiple sclerosis in Steppe pastoralist populations and traces their spread into Europe through migration.

DOI 10.1038/s41586-023-06618-z

humanwhole-genome sequencing

𝕏 PostBluesky

Evolutionary BiologybioRxivJul 21, 2021

Modelling the spatiotemporal spread of beneficial alleles using ancient genomes

R. A. Muktupavela, M. Petr, L. Segurel…·F. Racimo

This paper introduces a method to model the spatiotemporal spread of beneficial alleles using ancient genomes and applies it to West Eurasian data to estimate selection strength and diffusion rates.

DOI 10.7554/elife.73767

humanwhole-genome sequencing

𝕏 PostBluesky