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

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.

bioRxiv · Mar 23, 2018Evolutionary Biology

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

M. Steinrücken, J. P. Spence, J. A. Kamm, E. Wieczorek, 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.

bioRxiv · Dec 1, 2017Evolutionary Biology