NRT-DESE: Generating, Analyzing, and Understanding Sensory and Sequencing Information--A Trans-Disciplinary Graduate Training Program in Biosensing and Computational Biology

NRT-DESE：生成、分析和理解感官和测序信息——生物传感和计算生物学跨学科研究生培训项目

• 批准号: 1450032
• 负责人: Thomas Chen
• 金额: $ 296.61万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1450032&HistoricalAwards=false
• 关键词: NRT; DESE; Generating; Analyzing; Understanding

Biosensing using advanced semiconductor technologies and methods based on next generation DNA sequencing generate information about biological systems at an unprecedented scale. This National Science Foundation Research Traineeship (NRT) award prepares master's and doctoral students at Colorado State University with the tools to extract meaning from huge amounts of sensor and genomics data. Through innovative curricula and internships, trainees will learn to handle the new computational, statistical, mathematical, and engineering challenges that biologists, computer scientists, and engineers are unable to overcome alone. This traineeship program contributes to a new generation of scientists and engineers who are able to tackle complex problems related to large datasets in a variety of disciplines. Moreover, this program builds a community of university, K-12 schools, community colleges, and industry for a wider participation of effective scientific discovery, teaching, and learning.Research activities integrated with the training program will address themes critical to advance understanding of some fundamental data-related questions facing biological sciences. Interdisciplinary teams will tackle research involving biological sensors, detection of microbes, regulation of gene expression, and evolutionary genomics and genome assembly. Faculty across engineering, life sciences, computer science, mathematics, and statistics will develop a flexible, customizable collection of training modules, to create a training experience personalized for each student regardless of their background. Trainees will develop the skills and tools to process, analyze, visualize, and understand large datasets from biosensing and next generation DNA sequencing. Additionally, the program incorporates a wide range of transferrable skills training so that trainees will be well equipped to engage and lead data-centric research within or outside academia.

基于下一代DNA测序的先进半导体技术和方法的生物传感以前所未有的规模产生有关生物系统的信息。 这个国家科学基金会研究培训（NRT）奖准备硕士和博士生在科罗拉多州立大学的工具，从大量的传感器和基因组学数据中提取的意义。 通过创新的课程和实习，学员将学会处理生物学家，计算机科学家和工程师无法单独克服的新的计算，统计，数学和工程挑战。该培训计划有助于培养新一代的科学家和工程师，他们能够解决与各种学科的大型数据集相关的复杂问题。 此外，该计划还建立了一个由大学，K-12学校，社区学院和工业界组成的社区，以更广泛地参与有效的科学发现，教学和学习。与培训计划相结合的研究活动将解决对促进对生物科学面临的一些基本数据相关问题的理解至关重要的主题。 跨学科小组将处理涉及生物传感器，微生物检测，基因表达调控，进化基因组学和基因组组装的研究。 工程，生命科学，计算机科学，数学和统计学的教师将开发灵活，可定制的培训模块集合，为每个学生创建个性化的培训体验，无论他们的背景如何。 学员将开发技能和工具来处理，分析，可视化和理解来自生物传感和下一代DNA测序的大型数据集。 此外，该计划还包括广泛的可转移技能培训，使学员能够在学术界内外参与和领导以数据为中心的研究。

项目成果

Detecting de novo mitochondrial mutations in angiosperms with highly divergent evolutionary rates

• DOI: 10.1093/genetics/iyab039
• 发表时间: 2021-03-11
• 期刊: GENETICS
• 影响因子: 3.3
• 作者: Broz, Amanda K.;Waneka, Gus;Sloan, Daniel B.
• 通讯作者: Sloan, Daniel B.

Analysis of mitochondrial oxygen consumption and hydrogen peroxide release from cardiac mitochondria using electrochemical multi-sensors

• DOI: 10.1016/j.snb.2022.131641
• 发表时间: 2022-03-04
• 期刊: SENSORS AND ACTUATORS B-CHEMICAL
• 影响因子: 8.4
• 作者: Cheng，Ming-Hao;Chicco，Adam J.;Chen，Thomas W.
• 通讯作者: Chen，Thomas W.

A genetically based ecological trade‐off contributes to setting a geographic range limit

基于基因的生态权衡有助于设定地理范围限制

• DOI: 10.1111/ele.13900
• 发表时间: 2021
• 期刊: Ecology Letters
• 影响因子: 8.8
• 作者: Mauro, Alexander A.;Torres‐Dowdall, Julián;Marshall, Craig A.;Ghalambor, Cameron K.;Angert, ed., Amy
• 通讯作者: Angert, ed., Amy