MARC - DEVELOPING BIOINFORMATICS PROGRAMS, JULY 2009

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 生物信息学暑期研究所是一个为期两周的课程，针对教师，学生和工作人员在MARC计划机构。暑期研究所的目标是帮助参与者准备在当地校园教授生物信息学课程。鼓励与MARC计划机构相关的感兴趣的个人申请，包括来自不同部门的教师，包括生物，化学，物理，数学，统计，计算机科学和工程。 讲习班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。生物信息学中的一些基本主题将被讨论，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。特别强调将放在参数的选择，和数学，统计和生物基础的算法和方法。信息也将提供隐马尔可夫模型，先进的位置特定的权重矩阵，baidom估计，同源建模，结构生物学，分子动力学模拟，和基因树的创建和评估。互联网资源和远程计算设施的使用也将被讨论，将介绍非生物学家的生物学和介绍生物学家的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. 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.