Morgan Wirthlin, Ph.D.

Affiliations: 
2005-2009 Biological Sciences University of Chicago, Chicago, IL 
 2010-2016 Behavioral Neuroscience Oregon Health and Science University, Portland, OR 
 2016-2022 Computational Biology Carnegie Mellon University, Pittsburgh, PA 
 2022- Human Cell Types Allen Institute for Brain Science, Seattle, WA, United States 
Area:
vocal learning, evolution of behavior, neurogenomics
Website:
https://www.researchgate.net/profile/Morgan_Wirthlin
Google:
"Morgan Wirthlin"
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SNBCP

Parents

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Daniel Margoliash research assistant 2009-2010 Chicago
Claudio Mello grad student 2010-2016 OHSU
Andreas R. Pfenning post-doc 2016-2022 Carnegie Mellon
Edward S. Lein research scientist 2022- Allen Institute
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Publications

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Wirthlin ME, Schmid TA, Elie JE, et al. (2024) Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements. Science (New York, N.Y.). eabn3263
Kaplow IM, Lawler AJ, Schäffer DE, et al. (2023) Relating enhancer genetic variation across mammals to complex phenotypes using machine learning. Science (New York, N.Y.). 380: eabm7993
Sullivan PF, Meadows JRS, Gazal S, et al. (2023) Leveraging base-pair mammalian constraint to understand genetic variation and human disease. Science (New York, N.Y.). 380: eabn2937
Keough KC, Whalen S, Inoue F, et al. (2023) Three-dimensional genome rewiring in loci with human accelerated regions. Science (New York, N.Y.). 380: eabm1696
Kirilenko BM, Munegowda C, Osipova E, et al. (2023) Integrating gene annotation with orthology inference at scale. Science (New York, N.Y.). 380: eabn3107
Christmas MJ, Kaplow IM, Genereux DP, et al. (2023) Evolutionary constraint and innovation across hundreds of placental mammals. Science (New York, N.Y.). 380: eabn3943
Xue JR, Mackay-Smith A, Mouri K, et al. (2023) The functional and evolutionary impacts of human-specific deletions in conserved elements. Science (New York, N.Y.). 380: eabn2253
Osmanski AB, Paulat NS, Korstian J, et al. (2023) Insights into mammalian TE diversity through the curation of 248 genome assemblies. Science (New York, N.Y.). 380: eabn1430
Fuxjager MJ, Ryder TB, Moody NM, et al. (2023) Systems biology as a framework to understand the physiological and endocrine bases of behavior and its evolution-From concepts to a case study in birds. Hormones and Behavior. 151: 105340
Lawler AJ, Ramamurthy E, Brown AR, et al. (2022) Machine learning sequence prioritization for cell type-specific enhancer design. Elife. 11
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