Nonparametric methods for analyzing replication origins in genomewide data.
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.
Ghosh
Debashis
D
Department of Biostatistics, School of Public Health, University of Michigan, 1420 Washington Heights, Room M4057, Ann Arbor, MI 48109-2029, USA. ghoshd@umich.edu
D018076:DNA, Complementary / Q000235:genetics; D016678:Genome; D020411:Oligonucleotide Array Sequence Analysis; D018741:Replication Origin; D018709:Statistics, Nonparametric
D018076:DNA, Complementary