An undergraduate genome research course using "big data"

被引：1
作者：
Bennett, Evan N. [1 ]
Page, Shallee T. [1 ]
机构：
[1] Franklin Pierce Univ, Coll Hlth & Nat Sci, Marcucella Hall,40 Univ Dr, Rindge, NH 03461 USA
来源：
BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION | 2022年 / 50卷 / 05期
基金：
美国国家卫生研究院;
关键词：
course-based (CUREs); bioinformatics; curriculum design development and implementation; genome research; undergraduate research; undergraduate researchbig data; BIOINFORMATICS; IMPACT; INTEGRATION; EDUCATION;
D O I：
10.1002/bmb.21647
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
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."
引用
收藏
页码：450 / 452
页数：3
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