Teaching computer programming is not a simple task and it is challenging to introduce the concepts of programming in graduate programs of other fields. Little efforts have been made on engaging students in computational development after programming trainings. An emerging need is to establish subjects of bioinformatics and programming languages in genetics and molecular biology graduate programs, when students in these degree programs are immersed in a sea of genomic and transcriptomic data, which demands proficient computational treatment. I report an empirical guideline to introduce programming languages and recommend Python as first language for graduate programs in which students were from genetics and molecular biology backgrounds. Including the development of programming solutions related to graduate students' research activities may improve programming skills and better engagement. These results suggest that the applied approach leads to enhanced learning of introductory to autonomy in highly advanced programming concepts by graduate students. This guide should be extended for other research programs.

中文翻译：

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从生物信息学用户到生物信息学工程师：一份报告

教授计算机编程不是一件容易的事，将编程的概念引入其他领域的研究生课程具有挑战性。在编程培训之后，几乎没有做出任何努力让学生参与计算开发。当遗传学和分子生物学研究生课程中的学生沉浸在基因组和转录组数据的海洋中时，就需要建立遗传学和分子生物学研究生课程中的生物信息学和编程语言的主题，这是一种新兴的需求。我报告了一个经验准则，以介绍编程语言，并推荐Python作为研究生课程的第一语言，该课程的学生来自遗传和分子生​​物学背景。包括与研究生相关的编程解决方案的开发 研究活动可能会提高编程技能和更好的参与度。这些结果表明，所应用的方法可以提高研究生在高级编程概念中对自学入门的学习。该指南应扩展到其他研究计划。