SEQUENCE ANALYSIS SOFTWARE DEVELOPMENT

序列分析软件开发

• 批准号: 8363585
• 负责人: THOMAS E FERRIN
• 金额: $ 2.79万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363585
• 关键词: Area; Automatic Data Processing; Bioinformatics; Collaborations; Communities; DNA Microarray Chip; Data; Data Analyses; Funding; Genome; Grant; Homology Modeling; Imagery; Informatics; Java; Molecular; National Center for Research Resources; Principal Investigator; Pythons; Research; Research Infrastructure; Resources; Scientist; Sequence Alignment; Sequence Analysis; Sequence Homology; Software Tools; Source; Structure; Technology; United States National Institutes of Health; Work; Workplace; biocomputing; cost; 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. 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. 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.

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