BIOLOGICAL SEQUENCE ANALYSIS

生物序列分析

• 批准号: 3503536
• 负责人: RICHARD J BARTON
• 金额: $ 4.98万
• 依托单位: ORINCON CORPORATION
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-30 至 1994-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3503536
• 关键词: computer assisted sequence analysis; method development

The goal of this proposed ORINCON research is the development of new tools and techniques for biological sequence analysis based on the application of several promising new signal processing technologies. In particular we hope to develop faster, more accurate, and more robust methods for biological sequence comparison, more compact representation and storage techniques for derived nucleotide or amino acid sequences, and more reliable procedures for the automatic identification of specific functional regions of the genome, such as promoter sites, intron regions, or exon regions. In Phase I of this effort, we will restrict our attention to the study of wavelet transform techniques for sequence comparison, sequence representation, and site recognition. Wavelet transforms have received a great deal of attention recently and have been shown to be superior to traditional Fourier-based analysis techniques in many respects. Of particular interest for sequence analysis applications are finite-field wavelet transforms, which are ideally suited for the analysis of signals (or sequences) that take values in a finite field rather than the fields of real or complex numbers. Since any encoding of a nucleotide or amino acid sequence can be represented quite naturally in a finite field, this technique is very appealing.

这项拟议的Orincon研究的目的是开发新工具 基于应用的生物序列分析技术和技术 在几种有希望的新信号处理技术中。特别是我们 希望开发更快，更准确，更健壮的方法 生物序列比较，更紧凑的表示和存储 衍生核苷酸或氨基酸序列的技术，更多 自动识别特定的可靠程序 基因组的功能区域，例如启动子位点，内含子区域， 或外显子区域。 在这项工作的第一阶段，我们将把注意力限制在研究 小波变换技术用于序列比较，序列 表示和站点识别。小波变换已收到 最近的关注很大，已被证明优于 在许多方面，传统的基于傅立叶的分析技术。的 序列分析应用的特别兴趣是有限场 小波变换，非常适合分析信号 （或序列）在有限字段而不是字段中取值 真实或复数的数字。由于核苷酸或氨基的任何编码 酸序列可以自然地在有限领域表示 技术非常吸引人。