-
element-session
features a DataJoint pipeline design for session management. -
element-session
is not a complete workflow by itself, but rather a modular design of tables and dependencies. -
element-session
can be flexibly attached to any DataJoint workflow. -
See the Element Session documentation for the background information and development timeline.
-
For more information on the DataJoint Elements project, please visit https://elements.datajoint.org. This work is supported by the National Institutes of Health.
pip install element-session
If you already have an older version of element-session
installed using pip
, upgrade with
pip install --upgrade element-session
- See the workflow-calcium-imaging
and workflow-array-ephys repositories for example usages of
element-session
.
-
If your work uses DataJoint and DataJoint Elements, please cite the respective Research Resource Identifiers (RRIDs) and manuscripts.
-
DataJoint for Python or MATLAB
-
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) - DataJoint for
<Select Python or MATLAB>
(version<Enter version number>
)
-
-
DataJoint Elements
-
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
-
DataJoint Elements (RRID:SCR_021894) - Element Session (version
<Enter version number>
)
-