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DataJoint Elements
Build and tune your pipeline quickly by leveraging DataJoint Elements. They give you a huge head start – validated components that can be mixed and matched into complex pipelines, with inherent automation, quality control, and data compression that just work.
Element Event
A data pipeline for event- and trial-based experiments.
Element MoSeq
A data pipeline for motion sequencing with Keypoint-MoSeq.
Element Facemap
A data pipeline for pose estimation with Facemap.
Element DeepLabCut
A data pipeline for pose estimation with DeepLabCut.
Background
DataJoint Elements was developed as part of an NIH BRAIN Initiative project to disseminate open-source data management tools for neuroscience research.
- Grant: U24 NS116470 — DataJoint Pipelines for Neurophysiology
- Institute: National Institute of Neurological Disorders and Stroke (NINDS)
- Period: September 2020 -- August 2025
- PI: Dimitri Yatsenko, DataJoint
The project compiled and systematized data pipeline designs from leading neuroscience laboratories into a library of reusable modules. These modules automate data ingestion and processing for common experimental modalities including extracellular electrophysiology, calcium imaging, pose estimation, and optogenetics.
DataJoint Elements is listed in the BRAIN Initiative Alliance Resource Catalog (SciCrunch ID: SCR_021894).
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