Targeted Infusion Project: Lincoln University Bioinformatics Program (LUBi)

历史上的黑人学院和大学本科项目（HBCU- up）通过有针对性的输液项目支持基于证据的创新模式和方法的开发、实施和研究，以提高HBCU本科生的准备和成功，使他们可以攻读STEM研究生课程和/或职业。林肯大学将开发和实施跨学科的生物信息学本科学位。很少有本科院校开设生物信息学课程，尤其是传统黑人学院和大学（HBCUs）。该项目将对未被充分代表的少数民族从事生物信息学职业的培训和准备产生重大影响。林肯大学生物信息学项目将在生物信息学教育和研究方面采取创新的方法，为本科生做好跨学科和计算密集型研究的准备，并增加研究生项目中合格的少数族裔学生的数量。此外，该项目还将培养一批训练有素、为就业做好准备的少数族裔学生。该项目的预期成果将促进生物信息学领域的知识，因为学生将在这一不断发展的领域接受培训，同时与教师并肩工作。因此，有必要灌输对生物信息学的实际理解，将其基本用法和对基本原理的批判性理解结合起来。最低技能集是关键的跨学科概念，涉及生物学，化学，计算机科学和数学领域的知识和熟练程度的组合，这将对基因组学，蛋白质组学和代谢组学研究产生影响。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue STEM graduate programs and/or careers. Lincoln University will develop and implement an interdisciplinary undergraduate degree in bioinformatics. Very few undergraduate institutions have programs in bioinformatics, particularly Historically Black Colleges and Universities (HBCUs). This program will have a major impact on the training and preparation of underrepresented minorities for careers in bioinformatics. The Lincoln University Bioinformatics Project will take an innovative approach in bioinformatics education and research by preparing undergraduate students for interdisciplinary and computationally intensive research, and increasing the number of well-qualified underrepresented minority students in graduate programs. Additionally, a pipeline of well-trained minority students who are well prepared for the workforce will be generated from the program. The expected outcomes of this project will advance knowledge in the field of bioinformatics, as the students will be trained in this growing field while working side-by-side with faculty. Therefore, it is necessary to instill a practical understanding of bioinformatics, incorporating its basic usage and critical understanding of the underlying principles. The minimum skill sets are key cross-disciplinary concepts, involving a combination of knowledge and proficiency from the fields of biology, chemistry, computer science, and mathematics, which will have implications in genomics, proteomics, and metabolomics 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.