首页> 外文会议>Pacific Symposium on Biocomputing; 20080104-08; Kohala Coast,HI(US) >TILING MICROARRAY DATA ANALYSIS METHODS AND ALGORITHMS
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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:人类基因组和模型生物以及其他科学或技术上重要物种的其他几个基因组的完整测序,开启了被称为后基因组时代的时代。尽管测序工作不断进行并取得了丰硕成果,但这一阶段的特点是非常重视基因组功能。该序列一旦被揭示,将为理解生物学的其他各个方面铺平道路的希望尚未完全实现。例如,比以往任何时候都更加努力地表征蛋白质的结构,尽管取得了进展,但仅凭序列信息进行构象预测仍然是一个挑战。甚至为新测序的基因组提供完整的基因清单仍然是一个挑战,并且有证据表明,基因组的转录部分被低估了。已经启动了大型协作工作,例如ENCODE项目,以将一系列实验技术投入到基因组功能表征的问题上-包括但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)。 TM是现在广泛使用的DNA微阵列的一种变体,包含与目标基因组上规则排列的位置相对应的探针,而不论其作为转录本,启动子或任何其他功能测定的注释。因此,通过基因组测序工作使它们成为可能,并将其作为用于表征基因组各种功能方面的高通量技术加以补充。结合各种测定法,它们已应用于诸如转录本作图,拷贝数变异和DNA复制分析等任务。

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