Kernel methods for the analysis of whole bacterial genomes

用于分析整个细菌基因组的核方法

• 批准号: DP0559750
• 负责人: Prof Peter Timms
• 金额: $ 16.15万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-03-09 至 2008-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0559750
• 关键词: Kernel; methods; analysis; whole; bacterial

This project addresses the fundamental scientific problem of the identification of regulatory regions and specific promoters within bacterial genomes, with a focus upon two organisms of great social, economic and bioterrism significance. From the machine learning perspective, the project will be the first to produce a kernel-based approach directly tailored to the problem of the detection of regulatory regions. The methods developed will be made available through a straightforward web-based interface, allowing biologists throughout the world to utilize the approach as a tool to be applied to a progressively widening class of bacterial genomes, and even to eukaryotes.

该项目旨在解决细菌基因组中调控区域和特定启动子的识别这一基本科学问题，重点关注两种具有重大社会、经济和生物地球意义的生物。从机器学习的角度来看，该项目将是第一个产生直接针对监管区域检测问题的基于内核的方法。开发的方法将通过一个简单的基于网络的界面提供，使世界各地的生物学家能够利用这种方法作为一种工具，应用于越来越广泛的细菌基因组，甚至真核生物。