OK COBRE: DATA ANALYSIS CORE

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 数据分析核心（DAC）的目标是促进和便利COBRE初级调查员进行的研究，并为分析能力的发展提供支持。DAC提供的服务包括：实验设计咨询，包括功效分析;遗传学数据分析，包括连锁和关联方法，进一步细分为精细绘图方法、基于家族的关联和基于单体型的方法、病例对照候选基因方法和多位点方法;来自微阵列实验的基因表达分析，包括微阵列数据的标准化，差异表达基因的分析，使用各种聚类方法分析基因功能关联的改变，鉴定与感兴趣的生物化学途径相关的基因和创建基于转录的基因网络;以及在遗传数据分析中选择具有疾病区分能力的基因。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The goals of the Data Analysis Core (DAC) are to promote and facilitate the research undertaken by the Junior Investigators in the COBRE, and to provide support for the development of analytical capabilities. Services offered by the DAC include: consultation on experimental design, including power analysis; genetics data analysis, including linkage and association approaches, which further subdivide to include fine mapping methods, family-based association and haplotype-based methods, case-control candidate gene methods and multi-locus methods; gene expression analysis from microarray experiments, including normalization of microarray data, analysis of differentially expressed genes, analysis of alterations in gene functional association using various clustering methods, identifying genes associated with biochemical pathways of interest and creation of transcription based gene networks; and selection of genes with discriminatory capabilities for disease in genetic data analysis.