DNA & PROTEIN SEQUENCE ANALYSIS CONSULTING & SOFTWARE DEVELOPMENT

脱氧核糖核酸

• 批准号: 6119116
• 负责人: CHRISTOPHER W BOTKA
• 金额: $ 0.54万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6119116
• 关键词: bioengineering /biomedical engineering; biomedical resource; biotechnology; computers; genome; informatics; model design /development; statistics /biometry; technology /technique

At the Sequence Analysis Consulting Services of UCSF, providing sequence databases and software to over 100 labs including over 1200 people at UCSF, we have the unique advantage of hearing software development priorities directly from the researchers. One area many scientists feel requires much improvement is user interface. Many bioinformatics programs have yet to take advantage of advances made in area such as the WWW, Python, Java and the CGI. Two major areas lacking in user-interface ease are homology modeling and sequence alignment editing, which crosses the boundary between molecular biologists and structural and computational biochemists. Software tools for sequence alignments and structure homology modeling must evolve with the new data such as EST and technologies such as the WWW. We have designed programs that take advantage of these new technologies to enable the informaticist/scientist to have a more user-friendly and efficient working environment. We are designing a Perl and Python application for molecular biologists interested in structure to make UNIX sequence analysis and homology modeling tools as easy as browsing the Web. The Computer Graphics Lab and its resources offer a unique context for this interdisciplinary work.

在 UCSF 的序列分析咨询服务中，提供 为 100 多个实验室（其中包括 1200 多个实验室）提供测序数据库和软件 UCSF 的人们，我们拥有听力软件的独特优势 直接来自研究人员的发展优先事项。 一区多 科学家们认为用户界面需要很大的改进。 许多 生物信息学项目尚未利用在 例如 WWW、Python、Java 和 CGI​​。 两大领域 缺乏用户界面易用性的是同源建模和序列 对齐编辑，跨越分子之间的界限 生物学家以及结构和计算生物化学家。 软件 用于序列比对和结构同源性建模的工具必须 随着 EST 等新数据和 WWW 等技术的发展而发展。 我们设计了利用这些新功能的程序 使信息学家/科学家能够获得更多信息的技术 用户友好且高效的工作环境。 我们正在设计一个 Perl 和 Python 应用程序，适合对以下领域感兴趣的分子生物学家 用于制作 UNIX 序列分析和同源建模工具的结构 就像浏览网页一样简单。计算机图形学实验室及其 资源为这项跨学科工作提供了独特的背景。