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A database of Caenorhabditis elegans behavioral phenotypes

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TLDR
Using low-cost automated tracking microscopes, a behavioral database for 305 Caenorhabditis elegans strains, including 76 mutants with no previously described phenotype are generated, so that phenotypes can be identified and understood by users.
Abstract
Using low-cost automated tracking microscopes, we have generated a behavioral database for 305 Caenorhabditis elegans strains, including 76 mutants with no previously described phenotype. The growing database currently consists of 9,203 short videos segmented to extract behavior and morphology features, and these videos and feature data are available online for further analysis. The database also includes summary statistics for 702 measures with statistical comparisons to wild-type controls so that phenotypes can be identified and understood by users.

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Probabilistic Models of Larval Zebrafish Behavior: Structure on Many Scales

TL;DR: High spatial resolution video of single zebrafish larvae swimming in a naturalistic environment is collected and models of their action selection across exploration and hunting are developed to evaluate how bout-types and interbout intervals are selected by the fish as a function of its internal hunger state, behavioral history, and the locations and properties of nearby prey.
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Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data

TL;DR: An open unified format, Biological Dynamics Markup Language (BDML), which provides a basic framework for representing quantitative biological dynamics data for objects ranging from molecules to cells to organisms and will improve the efficiency of development and evaluation of software tools for data visualization and analysis.
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A network approach to discerning the identities of C. elegans in a free moving population.

TL;DR: The graphical interface developed will enable researchers to uncover, in a reproducible manner, subtle time-dependent behavioral phenotypes that will allow dissection of the molecular mechanisms that give rise to organism-level behavior.
Posted Content

Caenorhabditis elegans and the network control framework - FAQs

TL;DR: A thorough review of the network control framework as applied to Caenorhabditis elegans is provided, and the Python code is presented to enable exploration of control principles in a manner specific to this prototypical organism.
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Evaluating the power and limitations of genome-wide association studies in Caenorhabditis elegans

TL;DR: An open-source genome-wide association study pipeline called NemaScan is developed and a simulation-based approach is used to provide benchmarks of mapping performance in collections of wild C. elegans strains, providing critical context to pursue quantitative genetic studies using the C. nematodes Natural Diversity Resource.
References
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Journal ArticleDOI

The genetics of caenorhabditis elegans

TL;DR: In this paper, the authors describe methods for the isolation, complementation and mapping of mutants of Caenorhabditis elegans, a small free-living nematode worm.
Journal ArticleDOI

The structure of the nervous system of the nematode Caenorhabditis elegans

TL;DR: The structure and connectivity of the nervous system of the nematode Caenorhabditis elegans has been deduced from reconstructions of electron micrographs of serial sections as discussed by the authors.
Journal ArticleDOI

A direct approach to false discovery rates

TL;DR: The calculation of the q‐value is discussed, the pFDR analogue of the p‐value, which eliminates the need to set the error rate beforehand as is traditionally done, and can yield an increase of over eight times in power compared with the Benjamini–Hochberg FDR method.

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