Detection of differentially methylated regions in whole genome bisulfite sequencing data using local Getis-Ord statistics
نویسندگان
چکیده
منابع مشابه
Detection of differentially methylated regions from whole-genome bisulfite sequencing data without replicates
DNA methylation is an important epigenetic modification involved in many biological processes and diseases. Recent developments in whole genome bisulfite sequencing (WGBS) technology have enabled genome-wide measurements of DNA methylation at single base pair resolution. Many experiments have been conducted to compare DNA methylation profiles under different biological contexts, with the goal o...
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With recent advances in sequencing technology, it is now feasible to measure DNA methylation at tens of millions of sites across the entire genome. In most applications, biologists are interested in detecting differentially methylated regions, composed of multiple sites with differing methylation levels among populations. However, current computational approaches for detecting such regions do n...
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Whole genome bisulfite sequencing (WGBS) is the current method of choice to obtain the methylation status of each single CpG dinucleotide in a genome. The typical analysis asks for regions that are differentially methylated (DMRs) between samples of two classes, such as different cell types. However, even with current low sequencing costs, many studies need to cope with few samples and medium c...
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DNA methylation is a widespread epigenetic modification that plays an essential role in gene expression through transcriptional regulation and chromatin remodeling. The emergence of whole genome bisulfite sequencing (WGBS) represents an important milestone in the detection of DNA methylation. Characterization of differential methylated regions (DMRs) is fundamental as well for further functiona...
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MOTIVATION Bisulfite sequencing is currently the gold standard to obtain genome-wide DNA methylation profiles in eukaryotes. In contrast to the rapid development of appropriate pre-processing and alignment software, methods for analyzing the resulting methylation profiles are relatively limited so far. For instance, an appropriate pipeline to detect DNA methylation differences between cancer an...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2016
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btw497