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Workflow enables high-throughput phenotypic screening

Claim that the workflow can be used to perform high-throughput phenotypic genetic or drug screening.

Confidence
70%
active

Evidence Quote

“Workflow can be used for high-throughput phenotypic genetic or drug screening.”

Relationship

workflow enables High-throughput phenotypic screening

Arguments

Worm phenotyping workflowsubject
High-throughput phenotypic screeningobject

Connections (3)

Reasoning: Workflow modifications enable high-throughput and disease modelingInferenceChain
Animal models are poor predictors of human toxicitiesAssociation
Reasoning: Evolutionary and imaging approaches enable high-throughput disease modelingInferenceChain

Evidence

“Reference on interpretable behavioural features for quantitative phenotyping of C. elegans.”

Javer A et al. (2018). Powerful and interpretable behavioural features for quantitative phenotyping of Caenorhabditis elegans doi:10.1098/rstb.2017.0375 ↗

“Reference on automatic tracking of feeding behavior in C. elegans populations.”

Bonnard E et al. (2022). Automatically tracking feeding behavior in populations of foraging C. elegans doi:10.7554/elife.77252 ↗

“Reference on using micro-particle image velocimetry to analyze C. elegans propulsion.”

Kuo W-J et al. (2014). Characterizations of kinetic power and propulsion of the nematode Caenorhabditis elegans based on a micro-particle image velocimetry system doi:10.1063/1.4872061 ↗

“Reference on light microscopy applications and challenges in systems biology.”

Light microscopy applications in systems biology: opportunities and challenges doi:10.1186/1478-811x-11-24 ↗

“Reference on using DeepLabCut for 3D markerless pose estimation.”

Nath T et al. (2019). Using DeepLabCut for 3D markerless pose estimation across species and behaviors doi:10.1038/s41596-019-0176-0 ↗

“Reference supporting methods for quantitative phenotyping of C. elegans.”

Javer A et al. (2018). Powerful and interpretable behavioural features for quantitative phenotyping ofCaenorhabditis elegans doi:10.1098/rstb.2017.0375 ↗

“Reference supporting automated tracking of feeding behavior in C. elegans.”

Bonnard E et al. (2022). Automatically tracking feeding behavior in populations of foraging C. elegans doi:10.7554/elife.77252 ↗

“Reference for micro-particle image velocimetry system applied to C. elegans propulsion/phenotyping.”

Kuo W-J et al. (2014). Characterizations of kinetic power and propulsion of the nematode Caenorhabditis elegans based on a micro-particle image velocimetry system doi:10.1063/1.4872061 ↗

“Reference for DeepLabCut method for markerless pose estimation across species/behaviors.”

Nath T et al. (2019). Using DeepLabCut for 3D markerless pose estimation across species and behaviors doi:10.1038/s41596-019-0176-0 ↗

“Reference on systematic creation and phenotyping of Mendelian disease models in C. elegans for drug repurposing.”

O’Brien TJ et al. (2023). Systematic creation and phenotyping of Mendelian disease models in C. elegans: towards large-scale drug repurposing doi:10.7554/elife.92491.1 ↗