To simplify and expedite the processing of the raw data generated by the Oxymax Comprehensive Laboratory Animal Monitoring System (Oxymax-CLAMS) we developed CLAMS Wrangler.
This program handles the cleaning, trimming, binning, and reformatting of data generated by Oxymax-CLAMS for downstream statistical analysis.
Visit the CLAMS Wrangler (coming soon) website to process your data.
Please visit the documentation for a more detailed explanation of using CLAMS Wrangler and whether it is right for your use case.
While we will make every effort possible to maintain the availability of the website once deployed, that may not always be the case. If the website is unavailable, you can run the website locally on your computer and process data that way.
To download the latest version of CLAMS Wrangler go to the releases page.
Alternatively, run git clone https://github.com/PistilliLab/CLAMSwrangler-web.git from a terminal.
Install all dependencies as defined in the requirements.txt file. You will also need to install redis as it is currently used as the database for Celery, which handles asynchronous task processing.
From a python environment with all dependencies installed, you can start the server with python manage.py runserver.
You will also need to start the Celery worker in a separate terminal to process tasks with celery -A CLAMS_web worker --loglevel=info.
If you have multiple environments running, such as conda and the venv for the project, disable all but the one environment with the required dependencies.
Navigate to http://127.0.0.1:8000/.
Conceptualized and developed by: Stuart Clayton, Alan Mizener, Lauren Rentz
App icon is adapted from "Clams CLAM Icon" by Christopher Downer under the CC0 1.0 license.