Nathan A. Dunn, Ph.D.
Affiliations: | University of Oregon, Eugene, OR, United States |
Area:
neural network modeling, behaviorGoogle:
"Nathan Dunn"Mean distance: 14.09 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Shawn R. Lockery | grad student | 2006 | University of Oregon | |
| (A novel neural network analysis method applied to biological neural networks.) | ||||
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Publications
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| Dunn NA, Unni DR, Diesh C, et al. (2019) Apollo: Democratizing genome annotation. Plos Computational Biology. 15: e1006790 |
| Dunn NA, Unni D, Diesh C, et al. (2019) Efficient curation of genome annotations through collaboration with Apollo F1000research. 8 |
| Biederstedt E, Oliver JC, Hansen NF, et al. (2018) NovoGraph: Human genome graph construction from multiple long-read assemblies. F1000research. 7: 1391 |
| Rasche H, Grüning B, Dunn N, et al. (2018) GGA: Galaxy for genome annotation, teaching, and genomic databases F1000research. 7 |
| Putman TE, Lelong S, Burgstaller-Muehlbacher S, et al. (2017) WikiGenomes: an open web application for community consumption and curation of gene annotation data in Wikidata. Database : the Journal of Biological Databases and Curation. 2017 |
| Dunn NA, Munoz-Torres MC, Unni D, et al. (2017) Apollo: collaborative and scalable manual genome annotation F1000research. 6 |
| Mungall CJ, McMurry JA, Köhler S, et al. (2016) The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species. Nucleic Acids Research |
| Bradford Y, Conlin T, Dunn N, et al. (2011) ZFIN: enhancements and updates to the Zebrafish Model Organism Database. Nucleic Acids Research. 39: D822-9 |
| Sprague J, Bayraktaroglu L, Bradford Y, et al. (2008) The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes. Nucleic Acids Research. 36: D768-72 |
| Dunn NA, Conery JS, Lockery SR. (2007) Circuit motifs for spatial orientation behaviors identified by neural network optimization. Journal of Neurophysiology. 98: 888-97 |