Author

A. J. Blumberg

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

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 2 Approach:contrastive learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Organism:multiple species· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

M. Miyagi· 2 shared B. Counterman· 1 shared B. J. Clavijo· 1 shared C. D. Jiggins· 1 shared C. Salazar· 1 shared D. E. Neafsey· 1 shared D. Jaffe· 1 shared D. P. Humphreys· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersEvolutionary Biology

M. Miyagi

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Author profile →

2 papers

Recent·Most cited

Genomic architecture and introgression shape a butterfly radiation

N. B. Edelman, P. Frandsen, M. Miyagi, B. J. Clavijo, J. Davey, R. Dikow, G. Garcia Accinelli, S. M. Van Belleghem, N. J. Patterson, D. E. Neafsey, R. J. Challis, S. Kumar, G. R. P. Moreira, C. Salazar, M. Chouteau, , J. Mallet

The paper uses a low-cost genome assembly strategy to study Heliconius butterfly evolution, finding that introgression, not incomplete lineage sorting, explains most non-canonical genetic histories.

bioRxiv · Dec 4, 2018Evolutionary Biology

Fast Estimation of Recombination Rates Using Topological Data Analysis

D. P. Humphreys, M. R. McGuirl, M. Miyagi, A. J. Blumberg

This paper introduces TREE, a method using topological data analysis to estimate recombination rates more accurately and efficiently than previous methods.

bioRxiv · Aug 20, 2018Evolutionary Biology