Planning Proposal: CREST Center in Bioinformatics

规划方案：CREST生物信息学中心

• 批准号: 2334642
• 负责人: Lauren Fuess
• 金额: $ 20万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334642&HistoricalAwards=false
• 关键词: Planning; Proposal; CREST; Center; Bioinformatics

With support from the Centers of Research Excellence in Science and Technology (CREST), this project aims to develop a nationally recognized center in bioinformatics research and training at Texas State University (TXST), a minority serving institution (MSI). Bioinformatics skills, broadly defined as approaches for processing and analyzing large biological data, are increasingly in demand in the national workforce. However, underrepresented minority (URM) groups are poorly embodied among STEM graduates with bioinformatics training. The proposed center will bring together a diverse group of scientists applying bioinformatic approaches to ecological and evolutionary research. Furthermore, our project will address gaps in the recruitment and training of URM students in bioinformatic-related fields by creating new curriculum as part of an undergraduate training pipeline. At the graduate level, the center staff will transform existing bioinformatics coursework into a PhD program. Combined, these efforts will directly address national gaps in the training of URM in bioinformatics and augment efforts to create a nationally recognized bioinformatics center.This project supports the initial development of a research and training center in bioinformatics through preparation of a Bioinformatics CREST center proposal. Bioinformatics and related fields are among the fastest growing sectors in the US. However, URMs remain poorly represented within the broader bioinformatic workforce. A robust group of faculty at TXST are currently working with bioinformatics approaches and offering graduate training in bioinformatic skills. The program will build upon these strengths to develop: 1) a synergistic group of researchers working with bioinformatics, 2) undergraduate bioinformatic training, and 3) plans for center evaluation and sustainability. The CREST program provides support to enhance the research capabilities of minority-serving institutions through the establishment of centers that effectively integrate education and research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在科学技术卓越研究中心（CREST）的支持下，该项目旨在在得克萨斯州立大学（TXST）（TXST）（MSI）（MSI）的生物信息学研究与培训中开发一个全国认可的中心。在国家劳动力中，生物信息学技能广泛定义为处理和分析大型生物学数据的方法，越来越多。然而，通过生物信息学培训的STEM毕业生，代表性不足的少数群体（URM）群体体现不佳。拟议的中心将汇集一群多样化的科学家，采用生物信息学方法来进行生态和进化研究。此外，我们的项目将通过创建新的课程作为本科培训管道的一部分来解决与生物信息相关领域的URM学生招募和培训的差距。在研究生层面，中心工作人员将把现有的生物信息学课程转变为博士学位课程。这些努力结合在一起，将直接解决在生物信息学培训URM方面的国家差距，并增加创建全国认可的生物信息学中心的努力。该项目通过准备生物信息学信息中心的提案来支持生物信息学研究中心研究和培训中心的初步发展。生物信息学和相关领域是美国增长最快的领域之一。但是，在更广泛的生物信息学劳动力中，URM的代表性仍然很差。 TXST的一组强大的教师目前正在使用生物信息学方法，并提供生物信息学技能的研究生培训。该计划将基于这些发展的优势：1）与生物信息学合作的研究人员组成的协同研究，2）本科生物信息学培训和3）计划中心评估和可持续性的计划。 CREST计划通过建立有效整合教育和研究的中心来增强少数派服务机构的研究能力。该奖项反映了NSF的法定使命，并认为值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来获得支持。