Author

A. Hobolth

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:whole-genome sequencing· 2 Organism:chicken / avian· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

B. Charlesworth· 1 shared H. Hornshoj· 1 shared I. Rivas-Gonzalez· 1 shared J. S. Pedersen· 1 shared J. Wakeley· 1 shared K. Zeng· 1 shared M. H. Schierup· 1 shared M. J. Rasmussen· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEvolutionary Biology

B. Charlesworth

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Author profile →

3 papers

Recent·Most cited

TRAILS: tree reconstruction of ancestry using incomplete lineage sorting

I. Rivas-Gonzalez, M. H. Schierup, J. Wakeley, A. Hobolth

TRAILS infers time-resolved population genetics parameters and speciation times using multi-species genome alignments, improving accuracy over previous methods.

PLOS Genetics · Feb 8, 2024Peer-reviewedEvolutionary Biology

Studying models of balancing selection usingphase-type theory

K. Zeng, B. Charlesworth, A. Hobolth

The paper uses phase-type theory to analyze how balancing selection affects polymorphism patterns in linked neutral regions across different models of BLS.

bioRxiv · Jul 6, 2020Evolutionary Biology

Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

H. Hornshoj, M. M. Nielsen, N. A. Sinnott-Armstrong, M. P. Switnicki, M. J. Rasmussen, T. Madsen, R. Sallari, M. Kellis, T. Orntoft, A. Hobolth, J. S. Pedersen

The paper identifies non-coding mutations associated with cancer by analyzing conservation, mutational patterns, and correlations with gene expression and survival across multiple cancer types.

bioRxiv · Aug 30, 2017Cancer Biology