Author

Tara A. Pelletier

Radford UniversityORCID 0000-0003-3190-3053Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 3 Organism:multiple species· 3 Approach:statistical model· 3 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Abigail E. GreeniD· 2 shared Bryan C. CarstensiD· 2 shared Danielle J. ParsonsiD· 2 shared Camilo Andrés Calderón AcevedoiD· 1 shared Chris X. McdanielsiD· 1 shared Daniele L. F. WileyiD· 1 shared Eric FranziD· 1 shared Esteban O. Rosario-SancheziD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersEvolutionary Biology

Abigail E. GreenORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintFeb 18, 2025

Environmental and geographic drivers of global bat phylogenetic diversity

Abigail E. Green, Camilo Andrés Calderón Acevedo, J. Angel Soto‐Centeno, Tara A. Pelletier

This study identifies environmental and geographic factors influencing global bat phylogenetic diversity using genetic and spatial data.

DOI 10.1101/2025.02.18.636314

multiple speciesDNA methylation

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Evolutionary BiologybioRxivPreprintJan 24, 2025

Caudata macrogenetics: Geographic attributes and lineage age predict global patterns of mitochondrial genetic variation in salamanders

Luís Amador, Daniele L. F. Wiley, Irvin Arroyo‐Torres…·Lisa N. Barrow

This study identifies range size and lineage age as key predictors of mitochondrial genetic variation in salamanders, showing local ecological and geographic factors shape diversity rather than shared ancestry.

1 citation

multiple speciesDNA methylation

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Evolutionary BiologyPLoS ONEPeer-reviewedOct 18, 2024

Predicting genetic biodiversity in salamanders using geographic, climatic, and life history traits

Danielle J. Parsons, Abigail E. Green, Bryan C. Carstens, Tara A. Pelletier

This study uses machine learning to predict genetic diversity in salamanders based on geographic, climatic, and life history traits, finding hidden diversity linked to climatic variation.

4 citations

multiple speciesmachine learning (classical)

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BioinformaticsMolecular Ecology ResourcesPeer-reviewedJun 24, 2022

phylogatR: Phylogeographic data aggregation and repurposing

Tara A. Pelletier, Danielle J. Parsons, Sydney K Decker…·Bryan C. Carstens

phylogatR aggregates and curates phylogeographic data to enable efficient meta-analyses and educational use of genetic diversity data.

17 citations

DNA methylationstatistical model

𝕏 PostBluesky