SEQUENCE MOTIF DISCOVERY & SEARCH

序列基序发现

• 批准号: 8362791
• 负责人: Wilfred Wenfeng Li
• 金额: $ 4万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2012-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362791
• 关键词: Algorithms; Biological; Biomedical Computing; Cells; Distant; Drosophila chb protein; Funding; Gene Proteins; Genes; Grant; Machine Learning; Methods; Molecular Models; National Center for Research Resources; Pattern; Principal Investigator; Proteins; Research; Research Infrastructure; Resources; Source; Structure; United States National Institutes of Health; base; biomedical scientist; cost; molecular modeling; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The MEME/MAST project allows biomedical scientists to model molecular sequences and identify relationships and patterns among them. This aids in understanding the structure and function of genes and proteins in the cell. MEME is a pattern discovery tool, based on statistical learning algorithms, that finds sequence patterns in groups of proteins or genes. These patterns are useful for understanding the important biological features of the sequences. Furthermore, they can be used by the MAST algorithm to identify genes and proteins that share the patterns found by MEME, and are therefore likely to be functionally or evolutionarily related to the original group of sequences. MEME and MAST comprise an extremely powerful method for identifying distant but important relationships among biological molecules.

该子项目是利用资源的许多研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其他NIH来源。 为子项目列出的总成本可能 表示子项目使用的中心基础设施的估计数量， NCRR赠款不直接向子项目或子项目工作人员提供资金。 MEME/MAST项目允许生物医学科学家对分子序列进行建模， 确定它们之间的关系和模式。这有助于理解结构 基因和蛋白质的功能。MEME是一个模式发现工具，基于 统计学习算法，发现蛋白质或基因组中的序列模式。 这些模式有助于理解的重要生物学特征， 序列的此外，它们可以被MAST算法用于识别基因， 这些蛋白质与MEME发现的模式相同，因此可能在功能上与MEME相似。 或与原始序列组进化相关。 MEME和MAST是一种非常强大的方法，用于识别遥远的，但 生物分子之间的重要关系。