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.

项目摘要 我们建议构建一个专注于培训实验科学家的模块，以与 使用多种基因组平台生成的高维生物医学数据。在我们的 合并的经验培训科学家以分析我们拥有的高维生物医学数据 确定了实验生物学家访问，接口和分析的三个主要障碍 生物医学数据。首先，是对“云”是什么以及如何理解 访问各种云计算系统。其次如何使用 适用于分析兴趣的工具，并在使用新软件时最终缓解错误 访问，操纵和分析数字化的生物医学数据。许多免费的可用资源 引入云环境不是针对实验生物学家的目标，通常 缺乏一些学生掌握基础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培训集， 专注于克服学习生物信息学的三个常见障碍。每个课都会 基于上一课，为如何云提供了复杂而全面的理解 可以利用环境与数字化的生物医学数据相互作用。每节课都会开始 使用视频和示例代码，然后将在虚拟的“沙盒”中练习 环境，然后进行自我测试活动，使学生能够确定他们是否准备就绪 对于下一课中的材料。这种格式可以自定为基础主题的学习 该专门针对使用数字化生物医学数据的规范障碍。