Architectures for Data Management and Computational Support

This is the central database architecture for the collaborative research center of the SFB1089. It is based on datajoint.

The schemas present are organized as follows:

The above are linked to SFB's fork of DataJoint's calcium imaging Element:

Installation

1. Install Anaconda and go to a command prompt.
2. At the command prompot navigate to a directory where you want to download adamacs and type git clone https://github.com/SFB1089/adamacs.git
3. Enter the adamacs directory that was created with cd adamacs
4. Create an environment called datajoint with conda create --name datajoint python=3.8
5. Activate the newly created environemnt with conda activate datajoint
6. Install adamacs with pip install .
7. To get started right away open jupyter notebook and open a notebook you want to use.