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4 papers
Recent·Most cited
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
A. Sarkar, A. Giros, L. Mockly, J. Moore, A. Moore, A. Nagareddy, B. Fu, A. Fiscutean, K. Chhugani, N. Darci-Maher, Y. Patel, V. Sarwal, Y. Chang, S. Ginjala, L. X. Garmire, , S. Mangul
The paper analyzes Twitter activity of 6,000 biomedical scientists, finding gender differences in tweeting behavior and engagement patterns.
bioRxiv · Apr 22, 2022 · PreprintScientific Communication & Education
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
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