COURSEWORK: UPR

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 中心，不一定是研究者的机构。 本课程旨在提供一门生物信息学课程的学习机会，该课程是PSC的Hugh Nicholas博士的MARC培训补助金的一部分。本课程的目的是提供在应用生物信息学和计算生物学的重要课题的理解。学生将能够了解生物数据分析中涉及的问题，如DNA/蛋白质序列和蛋白质结构。该课程旨在提供对基因组数据分析中常用算法的良好理解，访问和使用相关数据库的实践经验，使用先进的计算机程序进行序列分析，蛋白质序列系统发育分析，结果可视化以及基因组分析的基本概述。这门课程的目的是灵活和适应学生 需求其目标是：使学生全面了解生物医学科学家用于处理、分析和理解DNA和蛋白质序列以及结构分析的当前计算技术。这将通过讲座来完成，再加上实验室会议，学生将与课堂上讨论的PSC生物信息学资源进行互动。学生对计算生物学概念的理解和PSC计算资源的利用将通过整个学期的个别项目进行评估。此外，学生将接触到各种研究途径提供给计算生物医学科学家。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This gran is to provide access for a course in bioinformatics developed as part of the MARC Training Grant of Dr. Hugh Nicholas of the PSC. The course is designed to provide an understanding of important topics in applied bioinformatics and computational biology. Students will be able to learn about problems involved in the analysis of biological data such as DNA/protein sequences and protein structures. The course is intended to provide a good understanding of the commonly used algorithms in the analysis of genomic data, hands-on experiences with accessing and using relevant databases, the use of advanced computer programs for sequence analysis, protein sequence phylogenetic analysis, visualization of results, and a basic overview of genome analysis. The course is intended to be flexible and adaptable to students needs. Its objectives are: to provide students with a thorough understanding of current computational techniques available to biomedical scientists for processing, analyzing, and understanding DNA and protein sequence and structural analysis. This will be accomplished through lectures, coupled with lab sessions where students will interact with the PSC Bioinformatics resources discussed in class. Student comprehension of computational biology concepts and utilization of the PSC computational resources will be assessed through individual projects which will evolve throughout the semester. In addition, students will be exposed to a variety of research avenues available to the computational biomedical scientist.