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Project handed over to Machine Learning & Computational Biology Lab, D-BSSE; further development continued at: https://github.com/BorgwardtLab/CAsMap .
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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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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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Jupyter notebooks for "Introduction to Programming with Python"
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This repository contains the components necessary to integrate a JupyterHub installation with openBIS.
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