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Biotechnology data analysis training with Jupyter Notebooks
View ORCID ProfileUlf W. Liebal, Rafael Schimassek, Iris Broderius, Nicole Maaßen, Alina Vogelgesang, Philipp Weyers, View ORCID ProfileLars M. Blank
doi: https://doi.org/10.1101/2021.09.28.462133
Ulf W. Liebal
1iAMB - Institute of Applied Microbiology, ABBT, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
Rafael Schimassek
1iAMB - Institute of Applied Microbiology, ABBT, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
Iris Broderius
1iAMB - Institute of Applied Microbiology, ABBT, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
Nicole Maaßen
1iAMB - Institute of Applied Microbiology, ABBT, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
Alina Vogelgesang
2CLS – Center for Learning Services, RWTH Aachen University, Kackertstr. 15, 52072 Aachen, Germany
Philipp Weyers
2CLS – Center for Learning Services, RWTH Aachen University, Kackertstr. 15, 52072 Aachen, Germany
Lars M. Blank
1iAMB - Institute of Applied Microbiology, ABBT, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
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Posted September 30, 2021.
Biotechnology data analysis training with Jupyter Notebooks
Ulf W. Liebal, Rafael Schimassek, Iris Broderius, Nicole Maaßen, Alina Vogelgesang, Philipp Weyers, Lars M. Blank
bioRxiv 2021.09.28.462133; doi: https://doi.org/10.1101/2021.09.28.462133
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