Author

T. H. Keitt

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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Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

D. Gamba· 1 shared J. R. Lasky· 1 shared M. Takou· 1 shared N. Goel· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperEvolutionary Biology

D. Gamba

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivMar 21, 2022

Estimating scale-specific and localized spatial patterns in allele frequency

J. R. Lasky, M. Takou, D. Gamba, T. H. Keitt

This study introduces a wavelet-based method to analyze spatial patterns in allele frequencies and applies it to Arabidopsis thaliana to identify locally adapted loci across scales.

DOI 10.1093/genetics/iyae082

ArabidopsisDNA methylation

𝕏 PostBluesky

EcologybioRxivDec 5, 2020

Source-sink dynamics can maintain mismatched range and bioclimatic limits even at large spatial scales

N. Goel, T. H. Keitt

The paper shows source-sink dynamics can extend species distributions beyond bioclimatic limits by using sink patches as stepping stones, challenging assumptions in bioclimatic models.

DOI 10.1086/720420

statistical modelecology & biodiversity

𝕏 PostBluesky