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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31246996 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wu+S%22">Wu S</searchLink>; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore.<br /><searchLink fieldCode="AU" term="%22Tan+KJ%22">Tan KJ</searchLink>; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.<br /><searchLink fieldCode="AU" term="%22Govindarajan+LN%22">Govindarajan LN</searchLink>; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore.<br /><searchLink fieldCode="AU" term="%22Stewart+JC%22">Stewart JC</searchLink>; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Duke-NUS Graduate Medical School, Neuroscience and Behavioural Disorders, Singapore.<br /><searchLink fieldCode="AU" term="%22Gu+L%22">Gu L</searchLink>; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore.<br /><searchLink fieldCode="AU" term="%22Ho+JWH%22">Ho JWH</searchLink>; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Duke-NUS Graduate Medical School, Neuroscience and Behavioural Disorders, Singapore.<br /><searchLink fieldCode="AU" term="%22Katarya+M%22">Katarya M</searchLink>; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.<br /><searchLink fieldCode="AU" term="%22Wong+BH%22">Wong BH</searchLink>; National University of Singapore, Department of Biological Sciences, Singapore.<br /><searchLink fieldCode="AU" term="%22Tan+EK%22">Tan EK</searchLink>; National Neuroscience Institute, Singapore General Hospital, Singapore.<br /><searchLink fieldCode="AU" term="%22Li+D%22">Li D</searchLink>; National University of Singapore, Department of Biological Sciences, Singapore.<br /><searchLink fieldCode="AU" term="%22Claridge-Chang+A%22">Claridge-Chang A</searchLink>; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.; Duke-NUS Graduate Medical School, Neuroscience and Behavioural Disorders, Singapore.<br /><searchLink fieldCode="AU" term="%22Libedinsky+C%22">Libedinsky C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cheng+L%22">Cheng L</searchLink>; Bioinformatics Institute, Agency for Science, Technology and Research, Singapore.; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada.<br /><searchLink fieldCode="AU" term="%22Aw+SS%22">Aw SS</searchLink>; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101183755%22">PLoS biology</searchLink> [PLoS Biol] 2019 Jun 27; Vol. 17 (6), pp. e3000346. <i>Date of Electronic Publication: </i>2019 Jun 27 (<i>Print Publication: </i>2019). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101183755 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1545-7885 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215449173%22">15449173 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31246996 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pbio.3000346 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e3000346 Titles: – TitleFull: Fully automated leg tracking of Drosophila neurodegeneration models reveals distinct conserved movement signatures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu S – PersonEntity: Name: NameFull: Tan KJ – PersonEntity: Name: NameFull: Govindarajan LN – PersonEntity: Name: NameFull: Stewart JC – PersonEntity: Name: NameFull: Gu L – PersonEntity: Name: NameFull: Ho JWH – PersonEntity: Name: NameFull: Katarya M – PersonEntity: Name: NameFull: Wong BH – PersonEntity: Name: NameFull: Tan EK – PersonEntity: Name: NameFull: Li D – PersonEntity: Name: NameFull: Claridge-Chang A – PersonEntity: Name: NameFull: Libedinsky C – PersonEntity: Name: NameFull: Cheng L – PersonEntity: Name: NameFull: Aw SS IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 06 Text: 2019 Jun 27 Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 1545-7885 Numbering: – Type: volume Value: 17 – Type: issue Value: 6 Titles: – TitleFull: PLoS biology Type: main |
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