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PyBIS is a Python3 module to interact with openBIS. This repository contains various Jupyter notebooks that demonstrate the usage of the Python pyBIS module.
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This repository contains the components necessary to integrate a JupyterHub installation with openBIS.
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Access data managed with openBIS directly from Matlab. Uses Pybis and Matlab's capability to call Python libraries.
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Repository of Jupyter notebooks for calcium imaging data analysis with the SIMA image analysis package. These notebooks were developed as part of an eSCT project in collaboration with the group of Shankar Sachidhanandam (University of Bern).
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Code used to generate results for the publication "Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting"
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run openBIS in a lxd container as described here: https://wiki-bsse.ethz.ch/display/openBISDoc/openBIS+16.05+deployment+using+LXD+virtual+containers+-+USER+guide
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