Andreas R. Pfenning, Ph.D.
Affiliations: | 2012 | Computational Biology and Bioinformatics | Duke University, Durham, NC |
Area:
Vocal learningGoogle:
"Andreas Pfenning"Mean distance: 16.4 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Erich David Jarvis | grad student | 2012 | Duke | |
| (A Computational Synthesis of Genes, Behavior, and Evolution Provides Insights into the Molecular Basis of Vocal Learning.) | ||||
| Manolis Kellis | post-doc | MIT (Computational Biology Tree) | ||
Children
Sign in to add trainee| Ziheng Chen | grad student | 2021- | Carnegie Mellon (Computational Biology Tree) |
| BaDoi N. Phan | grad student | 2019-2023 | Carnegie Mellon |
| Morgan Wirthlin | post-doc | 2016-2022 | Carnegie Mellon |
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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 |
| Chen HY, Phan BN, Shim G, et al. (2023) Psychiatric risk gene Transcription Factor 4 (TCF4) regulates the density and connectivity of distinct inhibitory interneuron subtypes. Molecular Psychiatry |
| 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 |
| 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 |
| Sullivan PF, Meadows JRS, Gazal S, et al. (2023) Leveraging Base Pair Mammalian Constraint to Understand Genetic Variation and Human Disease. Biorxiv : the Preprint Server For Biology |
| Welch GM, Boix CA, Schmauch E, et al. (2022) Neurons burdened by DNA double-strand breaks incite microglia activation through antiviral-like signaling in neurodegeneration. Science Advances. 8: eabo4662 |
| Lawler AJ, Ramamurthy E, Brown AR, et al. (2022) Machine learning sequence prioritization for cell type-specific enhancer design. Elife. 11 |
| Kaplow IM, Schäffer DE, Wirthlin ME, et al. (2022) Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin. Bmc Genomics. 23: 291 |
| Xue X, Zong W, Glausier JR, et al. (2022) Molecular rhythm alterations in prefrontal cortex and nucleus accumbens associated with opioid use disorder. Translational Psychiatry. 12: 123 |