Daniel R. Schrider, Ph.D.

Biology|Informatics and Computing Indiana University, Bloomington, Bloomington, IN, United States 
Evolutionary Genetics
"Daniel Schrider"


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Matthew W. Hahn grad student 2012 Indiana University
 (Population genetics of gene gain and loss.)
Andrew D. Kern post-doc 2013-2018 Rutgers, New Brunswick


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Anton Suvorov grad student 2018- UNC Genetics (Evolution Tree)
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Xue AT, Schrider DR, Kern AD, et al. (2020) Discovery of ongoing selective sweeps within Anopheles mosquito populations using deep learning. Molecular Biology and Evolution
Adrion JR, Cole CB, Dukler N, et al. (2020) A community-maintained standard library of population genetic models. Elife. 9
Suvorov A, Hochuli J, Schrider DR. (2019) Accurate inference of tree topologies from multiple sequence alignments using deep learning. Systematic Biology
Price N, Moyers BT, Lopez L, et al. (2018) Combining population genomics and fitness QTLs to identify the genetics of local adaptation in . Proceedings of the National Academy of Sciences of the United States of America
Schrider DR, Ayroles J, Matute DR, et al. (2018) Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia. Plos Genetics. 14: e1007341
Kern AD, Schrider DR. (2018) diploS/HIC: An Updated Approach to Classifying Selective Sweeps. G3 (Bethesda, Md.)
Schrider DR, Kern AD. (2018) Supervised Machine Learning for Population Genetics: A New Paradigm. Trends in Genetics : Tig
Schrider DR, Kern AD. (2017) Soft sweeps are the dominant mode of adaptation in the human genome. Molecular Biology and Evolution
Adrion JR, Song MJ, Schrider DR, et al. (2017) Genome-wide estimates of transposable element insertion and deletion rates in Drosophila melanogaster. Genome Biology and Evolution
Schrider DR, Shanku AG, Kern AD. (2016) Effects of Linked Selective Sweeps on Demographic Inference and Model Selection. Genetics
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