Bioinformatics: Current practice and future challenges for life science education
Bioinformatics: Current practice and future challenges for life science education
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DOI：
10.1002/bmb.2005.494033022424
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发表时间：
2005-03-01
影响因子：
1.4
通讯作者：
Kendall, G
中科院分区：
文献类型：
--
作者：
Hack, C;Kendall, G
人们普遍预测，高通量技术在生物分子定量和鉴定中的应用将导致生命科学的范式转变。然而，如果生物科学要从一个主要的描述性学科发展成为一个信息科学，从业者将需要在数学，计算和统计分析的增强技能。各大学主要通过开发生物信息学硕士课程来应对广泛认识到的技能差距，从而迅速扩大了生物信息学研究生教育的规模。然而，显然需要提高生命科学本科生的定量和分析技能。本文回顾了英国学术界的反应，并提出了毕业生应该达到的学习成果，以科普新的生物学。虽然这里讨论的分析使用联合王国生物信息学教育的发展作为一个说明性的例子，但希望提出的问题将引起所有参与生命科学课程开发的人的共鸣。
It is widely predicted that the application of high-throughput technologies to the quantification and identification of biological molecules will cause a paradigm shift in the life sciences. However, if the biosciences are to evolve from a predominantly descriptive discipline to an information science, practitioners will require enhanced skills in mathematics, computing, and statistical analysis. Universities have responded to the widely perceived skills gap primarily by developing masters programs in bioinformatics, resulting in a rapid expansion in the provision of postgraduate bioinformatics education. There is, however, a clear need to improve the quantitative and analytical skills of life science undergraduates. This article reviews the response of academia in the United Kingdom and proposes the learning outcomes that graduates should achieve to cope with the new biology. While the analysis discussed here uses the development of bioinformatics education in the United Kingdom as an illustrative example, it is hoped that the issues raised will resonate with all those involved in curriculum development in the life sciences.