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Bioinformatics in the Undergraduate Curriculum: Opportunities for Computer Science Educators

机译:本科课程中的生物信息学:计算机科学教育者的机会

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摘要

Biology has become an increasingly data-driven science. Modern experimental techniques, including automated DNA sequencing, gene expression micro arrays, and X-ray crystallography are producing molecular data at a rate that has made traditional data analysis methods impractical. Computational methods are becoming an increasingly important aspect of the evaluation and analysis of experimental data in molecular biology. Bioinformatics is the term coined for the new field that merges biology and computer science to manage and analyze this data, with the ultimate goal of understanding and modeling living systems. The emergence of bioinformatics provides new challenges and opportunities for computer science educators. This panel assembles four individuals who collectively have experience teaching bioinformatics at both liberal arts colleges and universities, and who also have industry experience in bioinformatics, to discuss various approaches to incorporating bioinformatics into the undergraduate curriculum.
机译:生物学已经成为越来越以数据为驱动的科学。现代实验技术,包括自动DNA测序,基因表达微阵列和X射线晶体学,正在以无法使传统数据分析方法切实可行的速度生成分子数据。计算方法正成为评估和分析分子生物学实验数据的一个日益重要的方面。生物信息学是为新领域创造的术语,它将生物学和计算机科学相结合来管理和分析这些数据,其最终目的是了解和建模生命系统。生物信息学的出现为计算机科学教育者带来了新的挑战和机遇。该小组由四个人组成,他们共同在文理学院和大学中拥有生物信息学的教学经验,同时也具有生物信息学的行业经验,以讨论将生物信息学纳入本科课程的各种方法。

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