MARC - DEVELOPING BIOINFORMATICS PROGRAMS WORKSHOP JULY 12-23, 2004

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。 本课程为期两周，2004年7月12日至23日，面向教职员工和学生。 和MARC项目机构的工作人员的目标是准备 参与者在当地校园教授生物信息学课程。 与MARC计划机构相关的感兴趣的个人是 鼓励申请，包括来自不同部门的教师，包括 生物、化学、物理、数学、统计学、计算机和信息 科学和工程。 工作坊将向学员介绍计算、数学和 围绕生物信息学的生物学问题。中的一些基本主题 将讨论生物信息学，包括推断结构和功能； 数据库搜索和成对序列比对；多序列 对齐；模式识别。我们将特别强调 参数选择，以及数学、统计和生物学 所提出的算法和方法的基础。信息还将被 基于隐马尔可夫模型、高级位置特定权重矩阵、 贝叶斯估计、同源建模、结构生物学、分子动力学 模拟和系统发生树的创建。互联网资源的使用和 还将讨论远程计算设施，并介绍 Perl编程语言。

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 two week course, July 12-23, 2004, is directed towards faculty, students and staff at MARC program institutions, has the goal of preparing the participants to teach bioinformatics courses at their local campuses. Interested individuals associated with a MARC program institution are encouraged to apply, including faculty from diverse departments, including biology, chemistry, physics, mathematics, statistics, computer and information science, and engineering. The workshop will introduce participants to the computational, mathematical and biological issues surrounding bioinformatics. A number of fundamental topics in bioinformatics will be discussed including inferring structures and functions; database searching and pairwise sequence alignment; multiple sequence alignments; pattern identification. Special emphasis will be placed on parameter selection, and the mathematical, statistical, and biological foundations of the algorithms and methods presented. Information will also be provided on hidden Markov models, advanced position-specific weight matrices, bayesian estimation, homology modeling, structural biology, molecular dynamics simulations, and phylogenic tree creation. The use of internet resources and remote computing facilities will also be discussed as will an introduction to the PERL programming language.