Cross-species meta-analysis tool for high-throughput genomic research

用于高通量基因组研究的跨物种荟萃分析工具

• 批准号: 7139627
• 负责人: SAEID AKHTARI
• 金额: $ 15.73万
• 依托单位: NEXTBIO
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-10 至 2007-02-09
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7139627
• 关键词: automated data processing; computer program /software; computer system design /evaluation; functional /structural genomics; genetic regulatory element; genetic transcription; high throughput technology; imaging /visualization /scanning; mathematical model; meta analysis; nucleic acid sequence; protein protein interaction; statistics /biometry; transcription factor

DESCRIPTION (provided by applicant): We propose to create a novel meta-analysis application for mining multiple high-throughput study results across different model organisms. It will enable researchers to easily compare knowledge across heterogeneous studies in an integrated fashion. The system will provide researchers with query mechanisms that use the power of combined data to explore common and unique biological processes involved in disease and compound activity across different species.

描述（由申请人提供）：我们建议创建一种新型的荟萃分析应用，以挖掘不同模型生物的多个高通量研究结果。这将使研究人员能够以综合方式轻松比较跨越异质研究的知识。该系统将为研究人员提供查询机制，这些机制利用合并数据的力量来探索涉及疾病的常见和独特的生物学过程，以及不同物种的复合活动。