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CAVE: Connectome Annotation Versioning Engine.

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Title: CAVE: Connectome Annotation Versioning Engine.
Authors: Dorkenwald S; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Schneider-Mizell CM; Allen Institute for Brain Science, Seattle, USA., Brittain D; Allen Institute for Brain Science, Seattle, USA., Halageri A; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Jordan C; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Kemnitz N; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Castro MA; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Silversmith W; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Maitin-Shephard J; Google Research, Mountain View, USA., Troidl J; School of Engineering and Applied Sciences, Harvard University, Boston, USA., Pfister H; School of Engineering and Applied Sciences, Harvard University, Boston, USA., Gillet V; Lund University, Department of Biology, Lund Vision Group, Lund, Sweden., Xenes D; Research & Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, United States., Bae JA; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Electrical and Computer Engineering Department, Princeton University, Princeton, USA., Bodor AL; Allen Institute for Brain Science, Seattle, USA., Buchanan J; Allen Institute for Brain Science, Seattle, USA., Bumbarger DJ; Allen Institute for Brain Science, Seattle, USA., Elabbady L; Allen Institute for Brain Science, Seattle, USA., Jia Z; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Kapner D; Allen Institute for Brain Science, Seattle, USA., Kinn S; Allen Institute for Brain Science, Seattle, USA., Lee K; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, USA., Li K; Computer Science Department, Princeton University, Princeton, USA., Lu R; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Macrina T; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Mahalingam G; Allen Institute for Brain Science, Seattle, USA., Mitchell E; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Mondal SS; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Electrical and Computer Engineering Department, Princeton University, Princeton, USA., Mu S; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Nehoran B; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Popovych S; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Takeno M; Allen Institute for Brain Science, Seattle, USA., Torres R; Allen Institute for Brain Science, Seattle, USA., Turner NL; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Wong W; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Wu J; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Yin W; Allen Institute for Brain Science, Seattle, USA., Yu SC; Princeton Neuroscience Institute, Princeton University, Princeton, USA., Reid RC; Allen Institute for Brain Science, Seattle, USA., da Costa NM; Allen Institute for Brain Science, Seattle, USA., Seung HS; Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA., Collman F; Allen Institute for Brain Science, Seattle, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2023 Jul 28. Date of Electronic Publication: 2023 Jul 28.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
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Princeton Neuroscience Institute, Princeton University, Princeton, USA.; Computer Science Department, Princeton University, Princeton, USA.<br /><searchLink fieldCode="AU" term="%22Collman+F%22">Collman F</searchLink>; Allen Institute for Brain Science, Seattle, USA.
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