SEQUENCE ANALYSIS SOFTWARE DEVELOPMENT

序列分析软件开发

• 批准号: 8170505
• 负责人: THOMAS E FERRIN
• 金额: $ 2.66万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8170505
• 关键词: Area; Automatic Data Processing; Bioinformatics; Collaborations; Communities; Computer Retrieval of Information on Scientific Projects Database; DNA Microarray Chip; Data; Data Analyses; Funding; Genome; Grant; Homology Modeling; Imagery; Informatics; Institution; Internet; Java; Molecular; Pythons; Research; Research Personnel; Resources; Scientist; Sequence Alignment; Sequence Analysis; Software Tools; Source; Structure; Technology; United States National Institutes of Health; Work; Workplace; biocomputing; design; interest; new technology; programs; software development; tool; user-friendly; web based interface

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. Software tools for sequence alignments and structure homology modeling must evolve with the large volume of new data being produced by the various genome projects and technologies such as DNA microarrays. Many of the commonly used bioinformatics programs have yet to take advantage of the technological advances made in areas such as Python, Java, and web-based interfaces. We have designed and implemented programs to take advantage of these new technologies to enable the informaticist/scientist to have a more user-friendly and efficient working environment. Our software tools help automate the data processing pipeline for sequence data and the facile management of results. We are designing Perl and Python applications for molecular biologists interested in structure studies in order to make the wealth of available UNIX sequence analysis and homology modeling tools as easy to use as browsing the Web. Further, we intend to develop automated analysis tools for many of the more routine data analysis tasks. The Resource for Biocomputing, Visualization, and Informatics (RBVI) offers a unique context for this interdisciplinary work, and though our collaborations with molecular biologists and other scientists the tools we develop are having an important impact on the broader scientific community.

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。子项目和 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。 用于序列比对和结构同源性建模的软件工具必须随着各种基因组计划和技术（如DNA微阵列）产生的大量新数据而发展。 许多常用的生物信息学程序尚未利用Python、Java和基于Web的界面等领域的技术进步。 我们已经设计并实施了利用这些新技术的计划，使信息学家/科学家能够拥有一个更加用户友好和高效的工作环境。 我们的软件工具有助于自动化序列数据的数据处理管道和结果的轻松管理。 我们正在为对结构研究感兴趣的分子生物学家设计Perl和Python应用程序，以便使可用的UNIX序列分析和同源建模工具的财富像浏览Web一样易于使用。 此外，我们打算为许多更常规的数据分析任务开发自动化分析工具。 生物计算，可视化和信息学资源（RBVI）为这项跨学科工作提供了独特的背景，尽管我们与分子生物学家和其他科学家合作，但我们开发的工具对更广泛的科学界产生了重要影响。