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整合多种微阵列数据类型。

Integration of diverse microarray data types.

作者信息

Salari Keyan, Pollack Jonathan R

机构信息

Departments of Pathology and Genetics, Stanford University, Stanford, CA, USA.

出版信息

Methods Mol Biol. 2009;556:205-16. doi: 10.1007/978-1-60327-192-9_15.

Abstract

Over the past decade, DNA microarrays have proven to be a powerful tool in biological research for the molecular surveillance of cells and tissues. The expansive utility of DNA microarrays owes its nascence to the development of a multitude of microarray platforms that enable the systematic and comprehensive exploration of diverse genomic properties and processes. Concomitant with the explosive generation of microarray data over the last several years has been an increasing interest in the integration of such diverse data types, thus spurring the development of novel statistical techniques and integrative bioinformatics tools. This chapter will outline general approaches to microarray data integration and provide an introduction to DR-Integrator, a broadly useful analysis tool for the integration of DNA copy number and gene-expression microarray data.

摘要

在过去十年中,DNA微阵列已被证明是生物学研究中用于细胞和组织分子监测的强大工具。DNA微阵列的广泛应用源于多种微阵列平台的发展,这些平台能够系统而全面地探索各种基因组特性和过程。在过去几年中,随着微阵列数据的爆炸式增长,人们对整合这些多样的数据类型越来越感兴趣,从而推动了新型统计技术和整合生物信息学工具的发展。本章将概述微阵列数据整合的一般方法,并介绍DR-Integrator,这是一种广泛用于整合DNA拷贝数和基因表达微阵列数据的分析工具。

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