Genome-wide search of nucleosome patterns using visual analytics
نویسندگان
چکیده
منابع مشابه
Genome-wide “Re”-Modeling of Nucleosome Positions
Two recent studies mapped nucleosomes across the yeast and human genomes, teasing apart the relative contributions of DNA sequence and chromatin remodelers to nucleosome organization. These data suggest two emerging models: chromatin remodelers position nucleosomes around transcriptional start sites in yeast, and a few "locked" nucleosomes may serve as barriers from which nucleosome arrays eman...
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The dynamic interplay between DNA-binding proteins and nucleosomes underlies essential nuclear processes such as transcription, replication, and DNA repair. Manifestations of this interplay include the assembly, eviction, and replacement of nucleosomes. Hence, measurements of nucleosome turnover kinetics can lead to insights into the regulation of dynamic chromatin processes. In this chapter, w...
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ACKNOWLEDGMENTS The authors would like to express their appreciation for the assistance and support of the Tennessee Fusion Center. Without input from Fusion Center staff, this project would not have been completed successfully.
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Eukaryotic genomes are packaged into nucleosomes whose position and chemical modification state can profoundly influence regulation of gene expression. We profiled nucleosome modifications across the yeast genome using chromatin immunoprecipitation coupled with DNA microarrays to produce high-resolution genome-wide maps of histone acetylation and methylation. These maps take into account change...
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How chromatin remodelers cooperate to organize nucleosomes around the start and end of genes is not known. We determined the genome-wide binding of remodeler complexes SWI/SNF, RSC, ISW1a, ISW1b, ISW2, and INO80 to individual nucleosomes in Saccharomyces, and determined their functional contributions to nucleosome positioning through deletion analysis. We applied ultra-high-resolution ChIP-exo ...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2018
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty971