College of Health and Natural Sciences, Franklin Pierce University, Rindge, New Hampshire, USA.
Biochem Mol Biol Educ. 2022 Sep;50(5):450-452. doi: 10.1002/bmb.21647. Epub 2022 Jul 9.
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."
分析大型数据集（"大数据"）的能力是现代科学中越来越重要的技能。在生物化学中，数据的数量和速度的增加在生物数据库的快速扩展中尤为明显。我们为高级本科生开设了一门模块化的生物信息学课程，以调查基因组数据分析。研究活动包括对内源性逆转录病毒的基因组扫描、注释基因组序列以及简要探索 R 中的编程。总结性海报会议用于传播他们的工作。本课程适用于远程或在线教学。提供的补充材料包括课程安排和大纲。本文报道了 2021 年虚拟国际 IUBMB/ASBMB 研讨会"大数据科学教学"中的一个环节。
