Python scripting for biochemistry and molecular biology in Jupyter Notebooks

A programming workshop has been developed for biochemists and molecular biologists to introduce them to the power and flexibility of solving problems with Python. The workshop is designed to move users beyond a “plug‐and‐play” approach that is based on spreadsheets and web applications in their teac...

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Veröffentlicht in:Biochemistry and molecular biology education Jg. 50; H. 5; S. 479 - 482
Hauptverfasser: Craig, Paul A., Nash, Jessica A., Crawford, T. Daniel
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.09.2022
Wiley
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Schlagworte:
Big Data
Biochemistry
Computer Oriented Programs
Computer programming
Data Analysis
Jupyter Notebook
live‐coding
Molecular Biology
MolSSI
Portable computers
Problem solving
Programming
Programming Languages
Python
workshop
Workshops
ISSN:1470-8175, 1539-3429, 1539-3429
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:A programming workshop has been developed for biochemists and molecular biologists to introduce them to the power and flexibility of solving problems with Python. The workshop is designed to move users beyond a “plug‐and‐play” approach that is based on spreadsheets and web applications in their teaching and research to writing scripts to parse large collections of data and to perform dynamic calculations. The live‐coding workshop is designed to introduce specific coding skills, as well as provide insight into the broader array of open‐access resources and libraries that are available for scientific computation.
Bibliographie:Funding information
National Science Foundation, Grant/Award Numbers: CHE‐2136142, IUSE‐2142033
This article reports a session from the virtual international 2021 IUBMB/ASBMB workshop, “Teaching Science with Big Data.”
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ISSN:1470-8175
1539-3429
1539-3429
DOI:10.1002/bmb.21676