International Conference on Analysis of Genomic Data

国际基因组数据分析会议

• 批准号: 6824174
• 负责人: Mei-Ling Ting Lee
• 金额: $ 1.25万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6824174
• 关键词: bioinformatics; functional /structural genomics; meeting /conference /symposium; microarray technology; population genetics; proteomics; statistics /biometry

DESCRIPTION (provided by applicant): After genome sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. DNA microarrays have high-density orderly arrangements of nucleic acid spots. Many research studies have demonstrated the general usefulness of genome probing using microarrays. While simultaneous measurement of thousands of gene expression levels provides a potential source of profound knowledge, success of the microarray technology depends on the precision of the measurements and on the integration of computational tools for data mining, visualization, and statistical modeling. With the abundance of data produced from genomic studies, the greatest challenge is analytical. The impact of genomic and proteomic technology on biology will depend heavily on bioinformatics methods and statistical analysis. Sophisticated data-mining and analytical tools are needed to correlate data obtained from the arrays, to group them in a meaningful way, and to perform statistical analysis in order to investigate hypotheses of interest. Experimental design and statistical methods provide powerful analytical tools to biologist for the study of living systems. Through statistical analysis and the graphical display of clustering and classification results, microarray experiments allow biologists to assimilate and explore the data in a natural and intuitive manner. The conference will cover current research on statistical models and bioinformatics methods for microarray data, proteomic data and population genetics. The conference will provide a forum for discussion on statistical and bioinformatics methods for analyzing genomic data. It will also provide a bridge for smooth transition and statistical methods from the genomic era to the proteomic era. The objective of this conference are to bring together senior and established researchers and young and promising researchers from around the world who are working on the bioinformatics and statistical aspects of genomic data analysis and to share recent and current research work, as well as examine future trends, in these areas.

描述（由申请人提供）：继基因组测序之后，微阵列技术已成为生命科学中广泛使用的基因组研究平台。 DNA微阵列具有高密度有序排列的核酸点。 许多研究已经证明了使用微阵列进行基因组探测的普遍用途。 虽然同时测量数千个基因表达水平提供了深刻知识的潜在来源，但微阵列技术的成功取决于测量的精度以及数据挖掘、可视化和统计建模计算工具的集成。 由于基因组研究产生大量数据，最大的挑战是分析。 基因组和蛋白质组技术对生物学的影响将在很大程度上取决于生物信息学方法和统计分析。 需要复杂的数据挖掘和分析工具来关联从阵列获得的数据，以有意义的方式对它们进行分组，并进行统计分析，以研究感兴趣的假设。 实验设计和统计方法为生物学家研究生命系统提供了强大的分析工具。 通过统计分析以及聚类和分类结果的图形显示，微阵列实验使生物学家能够以自然直观的方式吸收和探索数据。 会议将涵盖微阵列数据、蛋白质组数据和群体遗传学的统计模型和生物信息学方法的当前研究。 该会议将为讨论分析基因组数据的统计和生物信息学方法提供一个论坛。 它还将为从基因组时代到蛋白质组时代的平稳过渡和统计方法提供一座桥梁。 本次会议的目的是汇集来自世界各地致力于基因组数据分析的生物信息学和统计方面的资深研究人员和年轻有前途的研究人员，分享近期和当前的研究工作，并探讨未来趋势，在这些领域。