Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures.
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| Title: | Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures. |
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| Authors: | Wu S; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore., Tan KJ; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore., Govindarajan LN; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore., Stewart JC; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Duke-NUS Graduate Medical School, Neuroscience and Behavioural Disorders, Singapore., Gu L; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore., Ho JWH; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Duke-NUS Graduate Medical School, Neuroscience and Behavioural Disorders, Singapore., Katarya M; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore., Wong BH; National University of Singapore, Department of Biological Sciences, Singapore., Tan EK; National Neuroscience Institute, Singapore General Hospital, Singapore., Li D; National University of Singapore, Department of Biological Sciences, Singapore., Claridge-Chang A; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Duke-NUS Graduate Medical School, Neuroscience and Behavioural Disorders, Singapore., Libedinsky C; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Singapore Institute for Neurotechnology (SiNAPSE), Singapore.; National University of Singapore, Department of Psychology, Singapore., Cheng L; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore.; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada., Aw SS; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore. |
| Source: | PLoS biology [PLoS Biol] 2019 Jun 27; Vol. 17 (6), pp. e3000346. Date of Electronic Publication: 2019 Jun 27 (Print Publication: 2019). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1545-7885 |
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| DOI: | 10.1371/journal.pbio.3000346 |
