International Conference on Analysis of Genomic Data

描述(申请人提供)：基因组测序后，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斑点。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处。虽然同时测量数千个基因表达水平提供了一个潜在的深厚知识来源，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。随着基因组研究产生的大量数据，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的方法和统计分析。需要先进的数据挖掘和分析工具来关联从数组中获得的数据，以有意义的方式对其进行分组，并进行统计分析，以便调查感兴趣的假设。实验设计和统计方法为生物学家研究生命系统提供了强有力的分析工具。通过统计分析和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和直观的方式吸收和探索数据。 会议将涵盖微阵列数据、蛋白质组数据和种群遗传学的统计模型和生物信息学方法的最新研究。这次会议将提供一个论坛，讨论分析基因组数据的统计和生物信息学方法。它还将为从基因组时代到蛋白质时代的平稳过渡和统计方法提供一座桥梁。 这次会议的目的是将来自世界各地从事基因组数据分析的生物信息学和统计学方面工作的资深和成熟的研究人员以及年轻和有前途的研究人员聚集在一起，分享最近和当前的研究工作，以及审查这些领域的未来趋势。

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.