Nonparametric methods for analyzing replication origins in genomewide data.

Debashis Ghosh

doi:10.1007/s10142-004-0122-1

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Nonparametric methods for analyzing replication origins in genomewide data.

Debashis Ghosh

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Abstract

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.

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DNA, Complementary Genome Oligonucleotide Array Sequence Analysis Replication Origin Statistics, Nonparametric Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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Debashis Ghosh. 2004-09-09. Nonparametric methods for analyzing replication origins in genomewide data.. https://doi.org/10.1007/s10142-004-0122-1

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