Vincent Antony T, Bourbonnais Yves, Brouard Jean-Simon, Deveau Hélène, Droit Arnaud, Gagné Stéphane M, Guertin Michel, Lemieux Claude, Rathier Louis, Charette Steve J, Lagüe Patrick
Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des sciences et de génie, Université Laval, Québec (Québec), Canada.
Centre Hospitalier de l'Université Laval, Faculté de Médecine, Université Laval, Québec (Québec), Canada.
Biochem Mol Biol Educ. 2018 Jan;46(1):31-38. doi: 10.1002/bmb.21086. Epub 2017 Sep 13.
A recent scientific discipline, bioinformatics, defined as using informatics for the study of biological problems, is now a requirement for the study of biological sciences. Bioinformatics has become such a powerful and popular discipline that several academic institutions have created programs in this field, allowing students to become specialized. However, biology students who are not involved in a bioinformatics program also need a solid toolbox of bioinformatics software and skills. Therefore, we have developed a completely online bioinformatics course for non-bioinformaticians, entitled "BIF-1901 Introduction à la bio-informatique et à ses outils (Introduction to bioinformatics and bioinformatics tools)," given by the Department of Biochemistry, Microbiology, and Bioinformatics of Université Laval (Quebec City, Canada). This course requires neither a bioinformatics background nor specific skills in informatics. The underlying main goal was to produce a completely online up-to-date bioinformatics course, including practical exercises, with an intuitive pedagogical framework. The course, BIF-1901, was conceived to cover the three fundamental aspects of bioinformatics: (1) informatics, (2) biological sequence analysis, and (3) structural bioinformatics. This article discusses the content of the modules, the evaluations, the pedagogical framework, and the challenges inherent to a multidisciplinary, fully online course. © 2017 by The International Union of Biochemistry and Molecular Biology, 46(1):31-38, 2018.
一门新兴的科学学科——生物信息学，被定义为利用信息学研究生物学问题，如今已成为生物学研究的一项必备内容。生物信息学已发展成为一门极具影响力且广受欢迎的学科，许多学术机构都开设了该领域的课程，使学生能够进行专业学习。然而，未参与生物信息学课程的生物学专业学生也需要一套扎实的生物信息学软件和技能工具包。因此，我们为非生物信息学专业人员开发了一门完全在线的生物信息学课程，名为“BIF - 1901生物信息学及其工具导论（Introduction to bioinformatics and bioinformatics tools）”，由拉瓦尔大学（加拿大魁北克市）生物化学、微生物学和生物信息学系授课。本课程既不要求具备生物信息学背景，也不要求有特定的信息学技能。其主要目标是打造一门完全在线的、包含实践练习且教学框架直观的最新生物信息学课程。BIF - 1901课程旨在涵盖生物信息学的三个基本方面：（1）信息学，（2）生物序列分析，以及（3）结构生物信息学。本文讨论了各模块的内容、评估方式、教学框架以及多学科完全在线课程所固有的挑战。© 2017年，国际生物化学与分子生物学联盟，46(1):31 - 38，2018年。
