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

MARC - 开发生物信息学项目，2007 年 7 月 9 日至 20 日

• 批准号: 7956289
• 负责人: HUGH B NICHOLAS
• 金额: $ 0.08万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7956289
• 关键词: Algorithms; Bioinformatics; Biological; Biology; Biomedical Research; CCL7 gene; Chemistry; Computer Retrieval of Information on Scientific Projects Database; Databases; Educational process of instructing; Educational workshop; Engineering; Evaluation; Faculty; Foundations; Funding; Goals; Grant; High Performance Computing; Homology Modeling; Individual; Institutes; Institution; Internet; Mathematics; Methods; Participant; Pattern; Physics; Positioning Attribute; Programming Languages; Research; Research Personnel; Resources; Sequence Alignment; Source; Structure; Students; Trees; United States National Institutes of Health; Weight; computer science; interest; markov model; molecular dynamics; programs; statistics; structural biology

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.

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