Nonparametric methods for analyzing replication origins in genomewide data.
Nonparametric methods for analyzing replication origins in genomewide data.
复制标题
用于分析全基因组数据中的复制起点的非参数方法。
DOI：
10.1007/s10142-004-0122-1
复制
发表时间：
2005
影响因子：
2.9
通讯作者：
Ghosh,Debashis
中科院分区：
文献类型：
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作者：
Ghosh,Debashis
由于高通量基因组技术的出现，在全基因组的基础上监测细胞活动已经成为可能。有了这些新方法，科学家们就可以开始解决重要的生物学问题。其中一个问题涉及复制起点的识别，复制起点是染色体中启动DNA复制的区域。一种假设是它们在整个基因组中的位置是非随机的。在这篇文章中，我们分析了最近的酵母研究中，候选复制起点的轮廓使用cDNA微阵列来测试这一假设的数据。我们没有发现这种集群的证据。
Due to the advent of high-throughput genomic technology, it has become possible to monitor cellular activities on a genomewide basis. With these new methods, scientists can begin to address important biological questions. One such question involves the identification of replication origins, which are regions in the chromosomes where DNA replication is initiated. One hypothesis is that their locations are nonrandom throughout the genome. In this article, we analyze data from a recent yeast study in which candidate replication origins were profiled using cDNA microarrays to test this hypothesis. We find no evidence for such clustering.