MARC - DEVELOPING BIOINFORMATICS PROGRAMS, JULY 9 - 20, 2007

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。 暑期生物信息学学院是一门为期两周的课程，面向MARC项目机构的教职员工。暑期学院的目标是让参与者为在当地校园教授生物信息学课程做好准备。与MARC计划机构相关的感兴趣的个人被鼓励申请，包括来自不同系的教师，包括生物、化学、物理、数学、统计学、计算机科学和工程学。 研讨会将向与会者介绍围绕生物信息学的计算、数学和生物学问题。将讨论生物信息学中的一些基本主题，包括推断结构和功能；数据库搜索和成对序列比对；多序列比对；模式识别。将特别强调参数的选择，以及提出的算法和方法的数学、统计学和生物学基础。还将提供关于隐马尔可夫模型、高级特定位置权重矩阵、贝叶斯估计、同源建模、结构生物学、分子动力学模拟以及系统发育树创建和评估的信息。此外，还将讨论互联网资源和远程计算设施的使用，以及面向非生物学家的《生物学导论》和面向生物学家的Perl编程语言简介。

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. The Summer Institute in Bioinformatics is a two week course, directed towards faculty, students and staff at MARC program institutions. The Summer Institute 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 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 and evaluation. The use of internet resources and remote computing facilities will also be discussed as will an introduction Biology for non-biologists and an introduction to the PERL programming language for biologists.