• Ethoscopy is Python software for analysis of ethoscope data – and more! – created by Laurence Blackhurst
• Ethoscope-lab is a pre-baked Docker container featuring an installation of the multi user Jupyter Hub with Python and R kernels, ready to be used with Ethoscopy and Rethomics.

Why using ethoscope-lab?

Let me simply explain how we use it in our lab. We arranged a powerful workstation that acts as lab server and run a dockerized ethoscope-lab on it. The workstation has a local copy of all our ethoscope data (about 8 Terabyte as I type) and ethoscope-lab has local access on those, offering the quickest loading time. Users can then use their computer, or tablet to connect to the workstation and perform data analysis directly from the browser. The setup frees them from working at their desk and allows access to their data from anywhere in the world, guaranteeing at the same time the fastest computational performance even when they work on their laptops. Moreover, the system uses Jupyter notebook as default, meaning each analysis can be nicely annotated and exported to be shared with the world post-publication, along the original raw data.

To give a practical example: this series of repositories on zenodo contains the entire dataset of our latest paper (316Gb) and it’s paired to all the notebooks we used to generate each figure. Readers can download the dataset freely, install ethoscope-lab as docker container on any computer (irrespective of the operating system they adopt) and reproduce all our analyses!

	Ethoscopy / Ethoscope-lab paper on Bionformatics Advances
	Ethoscopy on GitHub
	Ethoscopy on PyPi
	Ethoscope-lab Docker container on DockerHub
	Jupyter Notebook tutorials for Ethoscopy on GitHub
	Ethoscopy and Ethoscope-lab documentation on bookstack