COURSEWORK: UPR

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 这笔赠款是为了提供一门生物信息学课程，作为PSC的休·尼古拉斯博士的MARC培训补助金的一部分。本课程旨在提供对应用生物信息学和计算生物学中重要主题的理解。学生将能够学习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。本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、使用高级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。该课程旨在灵活和适应学生的需要。它的目标是：为学生提供对生物医学科学家可用于处理、分析和理解DNA和蛋白质序列和结构分析的当前计算技术的透彻理解。这将通过讲课和实验课来完成，在实验课上学生将与课堂上讨论的PSC生物信息学资源互动。学生对计算生物学概念的理解和对PSC计算资源的利用将通过将在整个学期中发展的个人项目来评估。此外，学生将接触到计算生物医学科学家可用的各种研究途径。

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.