The MEME suite of motif-based sequence analysis tools

基于基序的序列分析工具 MEME 套件

• 批准号: 6907504
• 负责人: William Stafford Noble
• 金额: $ 30.77万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6907504
• 关键词: artificial intelligence; bioinformatics; computer assisted sequence analysis; computer human interaction; computer program /software; computer system design /evaluation; computer system hardware; mathematical model; microRNAs; molecular biology information system; nucleic acid sequence; protein structure; transcription factor

DESCRIPTION (provided by applicant): A wide variety of biological processes and signals are mediated by patterns detectable at the sequence level in proteins, DNA and RNA. For example, one facet of transcriptional regulation of genes involves proteins (transcription factors) recognizing and binding to specific DNA sequence patterns. Other examples of important biological sequence patterns include protein structural domains, microRNAs and the protein target sequences of kinases. The MEME suite of bioinformatics software tools provide biologists with powerful methods for discovering, analyzing and interpreting biological sequence patterns of many types, including those mentioned above. The suite includes one tool - MEME -- that biologists use to discover novel sequence patterns (motifs), and three tools -- Meta-MEME, MCAST and MAST -- that biologists use to search sequence databases for matches to motif-based sequence models. This grant will enable us to dramatically improve the scientific value of the suite to the thousands of biologists who already use it. These improvements will be visible to the biologist using the suite as increased availability, better support, better user-interface and documentation, more powerful algorithms, better interoperability, and faster release cycles. We will achieve these goals via a combination of three specific aims: (1) improved software engineering, (2) ongoing support and (3) continued software development of the suite.

描述（由申请人提供）：多种生物过程和信号是由在蛋白质，DNA和RNA中可检测到的模式介导的。例如，基因转录调节的一个方面涉及识别和结合特定DNA序列模式的蛋白质（转录因子）。重要的生物序列模式的其他例子包括蛋白质结构结构域，microRNA和激酶的蛋白质靶序列。生物信息学软件工具的模因套件为生物学家提供了有力的方法，用于发现，分析和解释多种类型的生物序列模式，包括上述类型的生物学序列模式。该套件包括一个工具 - 模因 - 生物学家用来发现新颖的序列模式（主题）和三个工具-Meta-meme，mcast和Mast-生物学家用来搜索序列数据库以获取与基于基准的序列模型的匹配。这笔赠款将使我们能够显着提高套件的科学价值，以向已经使用它的数千名生物学家。生物学家将使用套件可见这些改进，因为可用性提高，更好的支持，更好的用户界面和文档，更强大的算法，更好的互操作性以及更快的释放周期。我们将通过三个特定目标的结合来实现这些目标：（1）改进的软件工程，（2）持续支持和（3）套件的持续软件开发。