Author

A. Durvasula

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· 4

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

S. Sankararaman· 3 shared B. Y. Kim· 2 shared A. D. Kern· 1 shared A. L. Gladstein· 1 shared A. P. Ragsdale· 1 shared A. Siepel· 1 shared A. Singh· 1 shared C. B. Cole· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersEvolutionary Biology

S. Sankararaman

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4 papers

Recent·Most cited

MaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations

X. Zhang, B. Y. Kim, A. Singh, S. Sankararaman, A. Durvasula, K. E. Lohmueller

MaLAdapt identifies novel adaptive introgression loci from Neanderthals and Denisovans in non-African populations using machine learning.

bioRxiv · May 16, 2022Evolutionary Biology

Advancing admixture graph estimation via maximum likelihood network orientation

E. K. Molloy, A. Durvasula, S. Sankararaman

This paper introduces a new method to improve admixture graph estimation by addressing limitations in existing maximum likelihood heuristics.

bioRxiv · Feb 2, 2021Evolutionary Biology

A community-maintained standard library of population genetic models

J. R. Adrion, C. B. Cole, N. Dukler, J. G. Galloway, A. L. Gladstein, G. Gower, C. C. Kyriazis, A. P. Ragsdale, G. Tsambos, F. Baumdicker, J. Carlson, R. A. Cartwright, A. Durvasula, I. Gronau, B. Y. Kim, , A. D. Kern

The paper introduces stdpopsim, a community-maintained library for population genetic models, to standardize simulations and facilitate benchmarking of inference tools.

bioRxiv · Dec 20, 2019Evolutionary Biology

Natural selection interacts with the local recombination rate to shape the evolution of hybrid genomes

M. Schumer, C. Xu, D. Powell, A. Durvasula, L. Skov, C. Holland, S. Sankararaman, P. Andolfatto, G. Rosenthal, M. Przeworski

The persistence of hybrid ancestry is predictable from local recombination rates in three replicate hybrid populations and in humans.

bioRxiv · Nov 1, 2017Evolutionary Biology