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En hög genomströmning analys för Prediktion av kemiska toxiciteten av automatiserad fenotypiska profilering av Caenorhabditis elegans
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En hög genomströmning analys för Prediktion av kemiska toxiciteten av automatiserad fenotypiska profilering av Caenorhabditis elegans

Article DOI: 10.3791/59082-v • 09:01 min • March 14th, 2019
March 14th, 2019 •
*1, *2, 1, 3, 1,4, 1,4, 1,4, 5, 5, 1, 3, 3, 1,4
1Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control/Beijing Center of Preventive Medicine Research, China, 2College of Computer Science and Technology, Qilu University of Technology(Shandong Academy of Sciences), China, 3Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China, 4Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, China, 5School of Life Sciences, La Trobe University, Australia
* These authors contributed equally

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En kvantitativ metod har utvecklats för att identifiera och förutse akuta toxicitet av kemikalier genom att automatiskt analysera fenotypiska profilering av Caenorhabditis elegans. Det här protokollet beskriver hur man behandla maskar med kemikalier i en plattan med 384 brunnar, fånga videos och kvantifiera toxikologiska relaterade fenotyper.

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Miljövetenskap fråga 145 kemikalier toxicitet Caenorhabditis elegans bildanalys fenotyp kvantifiering
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