Fundamentals of Bioinformatics sandbox module

生物信息学沙盒模块基础知识

• 批准号: 10557263
• 负责人: WILLIAM R GREEN
• 金额: $ 1.44万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10557263
• 关键词: Address; Bioinformatics; Biological; Biology; Biomedical Research; Centers of Research Excellence; Cloud Computing; Code; Complex; Comprehension; Computer Systems; Computer software; Custom; Data; Data Analyses; Data Set; Disadvantaged; Educational workshop; Engineering; Ensure; Environment; Foundations; Genome; Grant; Intention; Lead; Learning; Materials Testing; National Institute of General Medical Sciences; New Hampshire; Resources; Scientist; Series; Students; Techniques; Time; Trainers Training; Training; Work; cloud based; cloud platform; complex data; data sharing; educational atmosphere; experience; flexibility; genomic platform; grasp; high dimensionality; interest; laboratory module; multidimensional data; online course; open source; self testing; skills; strength training; tool; virtual

Project Summary We propose constructing a module focused on training experimental scientists to interface with high-dimensional biomedical data generated using a variety of genomics platforms. In our combined experience training scientists to analyze high-dimensional biomedical data we have identified three major barriers to experimental biologists accessing, interfacing, and analyzing biomedical data. First and foremost, is an understanding of what the ‘cloud’ is and how to access various cloud computing systems. Secondly how to customize a cloud environment with tools appropriate for an analysis of interest, and finally error mitigation when using new software to access, manipulate, and analyze digitized biomedical data. Many freely available resources that introduce the cloud environment are not targeted for experimental biologists, and commonly lack the practice space and time necessary for some students to grasp foundational concepts before moving onto the next topic. Our proposed module uses biomedical data as a training set throughout the module and focuses on overcoming the three common barriers to learning bioinformatics. Each lesson will build on the previous lesson to provide a complex and well-rounded understanding of how cloud environments can be leveraged to interact with digitized biomedical data. Each lesson will begin with a video and example code, which will then be practiced in the virtual ‘sandbox’ environment, and followed by a self-test activity enabling students to determine if they are ready for the material in the next lesson. This format enables self-paced learning of foundational topics that specifically address canonical barriers to working with digitized biomedical data.

项目概要 我们建议构建一个模块，重点培训实验科学家与 使用各种基因组学平台生成的高维生物医学数据。 结合培训科学家分析高维生物医学数据的经验 确定了实验生物学家访问、连接和分析的三大障碍 首先也是最重要的是了解“云”是什么以及如何使用。 其次如何访问各种云计算系统。 适用于兴趣分析的工具，并最终减少使用新软件时的错误 访问、操作和分析数字化生物医学数据许多免费资源。 引入云环境的内容并不针对实验生物学家，并且通常 缺乏一些学生掌握基本概念所需的练习空间和时间 在进入下一个主题之前。 我们提出的模块使用生物医学数据作为整个模块的训练集， 每节课都侧重于克服学习生物信息学的三个常见障碍。 以上一课为基础，提供对云如何进行复杂而全面的理解 每节课都将开始利用环境与数字化生物医学数据进行交互。 带有视频和示例代码，然后将在虚拟“沙箱”中进行练习 环境，然后进行自测活动，使学生能够确定他们是否准备好 下一课的材料可以通过这种格式自主学习基础主题。 具体解决了使用数字化生物医学数据的规范障碍。