Author

A. M. Early

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· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:whole-genome sequencing· 3 Assay:DNA methylation· 2 Organism:plant (other)· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

D. E. Neafsey· 4 shared S. K. Volkman· 3 shared D. F. Wirth· 2 shared A. Knudson Ospina· 1 shared A. M. Santamaria· 1 shared A. R. Taylor· 1 shared B. L. MacInnis· 1 shared B. MacInnis· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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4 shared papersEvolutionary Biology

D. E. Neafsey

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4 papers

Recent·Most cited

Resolving drug selection and migration in an inbred South American Plasmodium falciparum population with identity-by-descent analysis

M. Carrasquilla, A. M. Early, A. R. Taylor, A. Knudson Ospina, D. F. Echeverry, T. J. Anderson, E. Mancilla, S. Aponte, P. Cárdenas, C. O. Buckee, J. C. Rayner, F. E. Sáenz, D. E. Neafsey, V. Corredor

This study uses identity-by-descent analysis on whole-genome sequences from Plasmodium falciparum to examine drug resistance and population structure in a low-transmission, inbred population.

bioRxiv · Feb 18, 2022Evolutionary Biology

Population Genomics of Plasmodium vivax in Panama to Assess the Risk of Case Importation on Malaria Elimination

L. E. Buyon, A. M. Santamaria, A. M. Early, M. Quijada, I. Barahona de Mosca, J. Lasso, M. Avila, S. K. Volkman, M. Marti, D. E. Neafsey, N. Obaldia

This study analyzes the population structure of Plasmodium vivax in Panama using genomic data to assess the risk of imported cases threatening malaria elimination.

PLOS Neglected Tropical Diseases · Dec 14, 2020Peer-reviewedMicrobiology

Detection of low-density Plasmodium falciparum infections using amplicon deep sequencing

A. M. Early, R. F. Daniels, T. M. Farrell, J. Grimsby, S. K. Volkman, D. F. Wirth, B. L. MacInnis, D. E. Neafsey

This paper evaluates four amplicon sequencing tools for detecting low-density Plasmodium falciparum infections, finding they can detect down to 5 genomes/l but have reduced accuracy at very low parasitemia.

bioRxiv · Feb 19, 2019Microbiology

Within-infection diversity of Plasmodium falciparum antigens reflects host-mediated selection

A. M. Early, M. Lievens, B. MacInnis, C. F. Ockenhouse, S. K. Volkman, S Clinical Trial Partnership Committee of Inve, RTS, D. F. Wirth, D. E. Neafsey

The paper analyzes intra-host diversity of Plasmodium falciparum antigens in sub-Saharan Africa to show host immunity influences which parasite strains progress to the blood stage.

bioRxiv · Nov 1, 2017Evolutionary Biology