DataJoint Element - Optogenetics
DataJoint Element for managing data from optogenetics experiments. DataJoint Elements collectively standardize and automate data collection and analysis for neuroscience experiments. Each Element is a modular pipeline for data storage and processing with corresponding database tables that can be combined with other Elements to assemble a fully functional pipeline.
Experiment Flowchart
Data Pipeline
Getting Started
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Install from PyPI
pip install element-optogenetics
Support
- If you need help getting started or run into any errors, please contact our team by email at support@datajoint.com.
1 maintainer
Release files for element-optogenetics 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| element-optogenetics-0.1.3.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| element_optogenetics-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / element-optogenetics-0.1.3.tar.gz
| Download URL | element-optogenetics-0.1.3.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / element_optogenetics-0.1.3-py3-none-any.whl
| Download URL | element_optogenetics-0.1.3-py3-none-any.whl |
|---|---|
| Size | 5.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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