An Undergraduate Genome Research Course Using "Big Data"

Autor/inn/en	Bennett, Evan N.; Page, Shallee T.
Titel	An Undergraduate Genome Research Course Using "Big Data"
Quelle	In: Biochemistry and Molecular Biology Education, 50 (2022) 5, S.450-452 (3 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Page, Shallee T.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1470-8175
DOI	10.1002/bmb.21647
Schlagwörter	Undergraduate Students; Data Analysis; Biochemistry; Research Methodology; Courses + Suchen Sie Ihr Suchwort? Auswertung; Biochemie; Research method; Forschungsmethode; Kursangebot
Abstract	The ability to analyze large data sets ("Big Data") is an increasingly important skill in modern science. In Biochemistry, the increased volume and velocity of data is particularly evident in the rapid expansion of biological databases. We present a modular bioinformatics course to survey the analysis of genomic data for advanced undergraduates. Research activities include genome scanning for endogenous retroviruses, annotating genomic sequences and a brief exploration of programming in R. A summative poster session was used to disseminate their work. This course is amenable to remote or online instruction. Supplemental materials provided include a schedule and outline. This article reports a session from the virtual international 2021 IUBMB/ASBMB workshop, "Teaching Science on Big Data." (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