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+`element-animal` features a DataJoint pipeline design for subject and genotyping management.
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+`element-animal` is not a complete workflow by itself, but rather a modular design of tables and dependencies.
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+`element-animal` can be flexibly attached to any DataJoint workflow.
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+ See the [Element Animal documentation](https://elements.datajoint.org/description/animal/) for the background information and development timeline.
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+ For more information on the DataJoint Elements project, please visit https://elements.datajoint.org. This work is supported by the National Institutes of Health.
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## Element architecture
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There are two modules in `element-animal`:
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+ subject: contains the basic information of subject, including Strain, Line, Subject, Zygosity, and SubjectDeath information
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+ genotyping: this module is designed for labs that keep track of colony management and genotyping results, containing information of breeding, weaning, housing, and genotyping.
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See [Background](Background.md) for the background information and development timeline.
+`element-animal` is not a complete workflow by itself, but rather a modular design of tables and dependencies that can be flexibly attached to any DataJoint workflow.
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+ See the [workflow-animal](https://github.com/datajoint/workflow-animal) repository for example usage of `element-animal`.
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+ See the [workflow-session](https://github.com/datajoint/workflow-session) repository for example usage of `element-animal`.
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+ Also refer to the [workflow-calcium-imaging](https://github.com/datajoint/workflow-calcium-imaging) and [workflow-array-ephys](https://github.com/datajoint/workflow-array-ephys) repositories for example usages of `element-animal` when combining with other elements.
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+ See the [datajoint-elements](https://github.com/datajoint/datajoint-elements) repository for a detailed description of the DataJoint elements and workflows.
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## Citation
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## Element architecture
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+ If your work uses DataJoint and DataJoint Elements, please cite the respective Research Resource Identifiers (RRIDs) and manuscripts.
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### Subject Diagram
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+ DataJoint for Python or MATLAB
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+ Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P, Hoenselaar A, Cotton RJ, Siapas AS, Tolias AS. DataJoint: managing big scientific data using MATLAB or Python. bioRxiv. 2015 Jan 1:031658. doi: https://doi.org/10.1101/031658
+ DataJoint ([RRID:SCR_014543](https://scicrunch.org/resolver/SCR_014543)) - DataJoint for `<Select Python or MATLAB>` (version `<Enter version number>`)
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+ DataJoint Elements
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+ Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358
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+ DataJoint Elements ([RRID:SCR_021894](https://scicrunch.org/resolver/SCR_021894)) - Element Animal (version `<Enter version number>`)
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