Author

J. A. Kamm

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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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:DNA methylation· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Y. S. Song· 2 shared E. Wieczorek· 1 shared J. P. Spence· 1 shared J. Terhorst· 1 shared M. Steinrücken· 1 shared R. Durbin· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersEvolutionary Biology

Y. S. Song

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivMar 23, 2018

Efficiently inferring the demographic history of many populations with allele count data

J. A. Kamm, J. Terhorst, R. Durbin, Y. S. Song

The paper introduces a method to efficiently compute the expected sample frequency spectrum for complex demographic histories described by general directed acyclic graphs, and applies it to estimate a basal Eurasian admixture event in humans.

DOI 10.1080/01621459.2019.1635482

humanDNA methylation

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Evolutionary BiologybioRxivDec 1, 2017

Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans

M. Steinrücken, J. P. Spence, J. A. Kamm…·Y. S. Song

This study introduces a model-based method to detect Neanderthal introgression in modern humans and finds weak selection against Neanderthal ancestry, possibly due to higher genetic load in Neanderthals.

DOI 10.1111/mec.14565

humanwhole-genome sequencing

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