NWB conversion scripts, functions, and classes for the nwb conversion of Murthy lab
Project description
murthy-lab-to-nwb
NWB conversion scripts for Murthy lab data to the Neurodata Without Borders data format.
Clone and install
To run the conversion some basic machinery is needed: python, git and pip. For most users, we recommend you to install conda
(installation instructions) as it contains all the required machinery in a single and simple install. If your system is windows you might also need to install git
(installation instructions) to interact with this repository.
From a terminal (note that conda should install one in your system) you can do the following:
git clone https://github.com/catalystneuro/murthy-lab-to-nwb
cd murthy-lab-to-nwb
conda env create --file make_env.yml
conda activate murthy-lab-to-nwb-env
This create a conda environment which isolates the conversion from your system. We recommend that you run all your conversion related tasks and analysis from that environment to minimize the intereference of this code with your own system.
Alternatively, if you want to avoid conda altogether (for example if you use another virtual environment tool) you can install the repository with the following commands using only pip:
git clone https://github.com/catalystneuro/murthy-lab-to-nwb
cd murthy-lab-to-nwb
pip install -e .
Note: both of the methods above install the repository in editable mode
Pip installation
You can also install the latest release of the package with pip:
pip install murthy-lab-to-nwb
Repository structure
Each conversion is organized in a directory of its own in the src
directory:
murthy-lab-to-nwb/
├── LICENSE
├── make_env.yml
├── pyproject.toml
├── README.md
├── requirements.txt
├── setup.py
└── src
├── __init__.py
└── murthy_lab_to_nwb
├── __init__.py
├── cowley2022mapping
│ ├── cowley2022mapping_courtship_convert_session.py
│ ├── cowley2022mapping_imaging_convert_session.py
│ ├── cowley2022mapping_nwbconverter.py
│ ├── cowley2022mapping_requirements.txt
│ ├── __init__.py
│ ├── interfaces
│ ├── metadata
│ ├── utils
│ ├── widget_demostration_courtship.ipynb
│ └── widget_demostration_imaging.ipynb
└── li2022ecephys
├── __init__.py
├── li2022ecephys_convert_session.py
├── li2022ecephysinterface.py
├── li2022ecephysnwbconverter.py
└── li2022ecephys.yaml_.py
└── __init__.py
For example, for the conversion cowley2022mapping
you can find a directory located in src/murthy-lab-to-nwb/cowley2022mapping
. Inside each conversion directory you can find the following files:
cowley2022mapping_courtship_convert_session.py
: this runs a nwb conversion for a courtship session.cowley2022mapping_imaging_convert_session.py
: this runs a nwb conversion for an imaging session.cowley2022mapping_requirements.txt
: dependencies specific to this conversion specifically.widget_demostration_courtship.ipynb
jupyter notebook with visulization tools for the courtship nwb filewidget_demostration_imaging.ipynb
jupyter notebook with visulization tools for the imaging nwb file
Plus the following directories:
interfaces
directory which holds the interfaces required in this conversion.metadata
directory which holds the editable yaml metadata files to add extra metadata to the conversions.utils
miscellaneous utilities for the conversion.
Running a specific conversion
To run a specific conversion for a full session you can see here the following examples
python src/murthy_lab_to_nwb/cowley2022mapping/cowley2022mapping_courtship_convert_session.py
python src/murthy_lab_to_nwb/cowley2022mapping/cowley2022mapping_imaging_convert_session.py
python src/murthy_lab_to_nwb/li2022ecephys/li2022ecephys_convert_session.py
You might need to install first some conversion specific dependencies that are located in each conversion directory:
pip install -r src/murthy_lab_to_nwb/cowley2022mapping/cowley2022mapping_requirements.txt
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