Andreas R. Pfenning, Ph.D.

2012 Computational Biology and Bioinformatics Duke University, Durham, NC 
Vocal learning
"Andreas Pfenning"
Mean distance: 16.4 (cluster 6)


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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)
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Zhang X, Kaplow IM, Wirthlin M, et al. (2020) HALPER facilitates the identification of regulatory element orthologs across species. Bioinformatics (Oxford, England)
Wirthlin M, Chang EF, Knörnschild M, et al. (2019) A Modular Approach to Vocal Learning: Disentangling the Diversity of a Complex Behavioral Trait. Neuron. 104: 87-99
Glorioso CA, Pfenning AR, Lee SS, et al. (2019) Rate of brain aging and are synergistic risk factors for Alzheimer's disease. Life Science Alliance. 2
Klein HU, McCabe C, Gjoneska E, et al. (2019) Epigenome-wide study uncovers large-scale changes in histone acetylation driven by tau pathology in aging and Alzheimer's human brains. Nature Neuroscience. 22: 37-46
Nguyen TA, Jones RD, Snavely A, et al. (2016) High-throughput functional comparison of promoter and enhancer activities. Genome Research
Lyons MR, Chen LF, Deng JV, et al. (2016) The transcription factor CaRF limits NMDAR-dependent transcription in the developing brain. Journal of Neurochemistry
Madabhushi R, Gao F, Pfenning AR, et al. (2015) Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes. Cell. 161: 1592-605
Gjoneska E, Pfenning AR, Mathys H, et al. (2015) Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer's disease. Nature. 518: 365-9
Kundaje A, Meuleman W, et al. (2015) Integrative analysis of 111 reference human epigenomes. Nature. 518: 317-30
Pfenning AR, Hara E, Whitney O, et al. (2014) Convergent transcriptional specializations in the brains of humans and song-learning birds. Science (New York, N.Y.). 346: 1256846
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