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TILING MICROARRAY DATA ANALYSIS METHODS AND ALGORITHMS

机译:平铺微阵列数据分析方法和算法

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The complete sequencing of the human genome and several other genomes for model organisms and other scientifically or technologically important species has opened what has been dubbed the post-genomic era. Notwithstanding the continuing and fruitful sequencing projects, this phase has been marked by a strong emphasis on genome function. The promise that the sequence, once revealed, would pave the way to understanding a variety of other aspects of biology has not been fully realized. For instance, the effort to experimentally characterize the structure of proteins is more vigorous then ever and conformation prediction from sequence information alone, despite progress, remains a challenge. Even coming up with a complete gene list for a newly sequenced genome is still a challenge and there is evidence that the transcribed fraction of the genome has been underestimated. Large collaborative efforts, such as the ENCODE project, have been launched to throw an array of experimental technologies at the problem of functional characterization of the genome - including but definitely not limited to more sequencing and in depth comparative genomics. One such technology is the tiling microarray (TM). A variation on the now widespread DNA microarray, the TM contains probes that correspond to regularly spaced position on a target genome, irrespective of their annotation as transcripts, promoters or any other functional determination. Therefore, they are made possible by genome sequencing efforts and complement them as high throughput technologies for the characterization of a variety of functional aspects of the genome. In combination with diverse assays, they have been applied to tasks such as transcript mapping and copy number variation and DNA replication analysis.
机译:人类基因组的完全测序和用于模型生物和其他科学或技术重要的物种的其他几种基因组已开辟了基因组后时代被称为基因组的内容。尽管存在持续和富有成效的测序项目,但该阶段已经标志着强调基因组功能。序列曾经揭示的序列将铺平了解理解生物学的各种其他方面的途径尚未完全实现。例如,实验表征蛋白质结构的努力比单独的序列信息从单独的序列信息中更加剧烈剧烈,仍然是一个挑战。甚至与新序列的基因组的完整基因列表仍然是一个挑战,有证据表明基因组的转录部分被低估了。已经启动了大型协作努力,例如编码项目,以抛出基因组功能表征问题的实验技术阵列 - 包括但绝对不限于更多的测序和深度比较基因组学。一种这样的技术是平铺微阵列(TM)。现在广泛的DNA微阵列的变化,TM含有对应于靶基因组上规则间隔的位置的探针,而不管它们的注释作为转录物,启动子或任何其他功能确定。因此,它们是通过基因组测序努力实现的,并将其作为高通量技术补充,以表征基因组的各种功能方面。结合多样化的测定,它们已应用于转录映射和拷贝数变异和DNA复制分析的任务。

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