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New applications of microarray data analysis:integrating genetics with 'Omics'

机译：微阵列数据分析的新应用：将遗传学与“ Omics”整合

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It was less than 10 years ago that DNA microarrays were hailed as a revolutionary new way of examining biological phenomena at the level of the entire genome rather than one gene at a time. For the first few years, RNA-expression profiling was the obvious (and for all practical purposes the only) application. Before long, however, the potential of the technology for large-scale examination of many different facets of the complexity of living organisms became increasingly apparent. As a result, recent years have seen an explosion of applications that go far beyond merely evaluating gene-expression levels. In parallel, the need for increasingly sophisticated analysis of array data has driven the creation of a whole new field in biostatistics and bioinformatics.
机译：不到十年前，DNA微阵列被誉为一种革命性的新方法，可以在整个基因组水平而不是一次检测一个基因来检查生物现象。在最初的几年中，RNA表达谱分析是很明显的应用（出于所有实际目的，这是唯一的应用）。然而，不久之后，该技术用于大规模检查生物体复杂性的许多不同方面的潜力越来越明显。结果，近年来看到了爆炸性的应用，其应用范围远远超出仅仅评估基因表达水平。同时，对阵列数据日益复杂的分析的需求推动了生物统计学和生物信息学领域的全新发展。

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