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 (including quality control), trimming, binning, and reformatting of data generated by Oxymax-CLAMS for downstream statistical analysis.

Visit the CLAMSwrangler (coming soon) website to process your data.

Please visit the wiki 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 availabilty 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 and select the version for the OS you are using.

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. 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.