Visualizing Protein Big Data Using Python and Jupyter Notebooks

Autor/in	Weiss, Charles J.
Titel	Visualizing Protein Big Data Using Python and Jupyter Notebooks
Quelle	In: Biochemistry and Molecular Biology Education, 50 (2022) 5, S.431-436 (6 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Weiss, Charles J.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1470-8175
DOI	10.1002/bmb.21621
Schlagwörter	Visual Aids; Programming Languages; Data Analysis; Science Instruction; Teaching Methods; Biochemistry; Workshops; Conferences (Gatherings); Computer Software; Molecular Structure; Trend Analysis + Suchen Sie Ihr Suchwort? Anschauungsmaterial; Auswertung; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Teaching method; Lehrmethode; Unterrichtsmethode; Biochemie; Lernwerkstatt; Schulung; Trendanalyse
Abstract	This article reports a workshop from the 2021 IUBMB/ASBMB Teaching Science with Big Data conference held virtually in June 2021 where participants learned to explore and visualize large quantities of protein PBD data using Jupyter notebooks and the Python programming language. This activity instructs participants using Jupyter notebooks, Python functions, loading data with Python, and visualize data using the matplotlib and seaborn Python plotting libraries. It also allows participants to explore large quantities of data to discover trends such amino acid abundance, dihedral angles patterns, and secondary protein structure trends. All files used in this activity, including data files, Jupyter notebooks, and completed Jupyter notebooks, are freely available at https://github.com/weisscharlesj/BiopythonRamachandran under the CC BY-NC-SA 4.0 Creative Commons license. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01