2013
DOI: 10.1093/bioinformatics/btt650
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MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experiments

Abstract: Motivation: DNA enrichment followed by sequencing is a versatile tool in molecular biology, with a wide variety of applications including genome-wide analysis of epigenetic marks and mechanisms. A common requirement of these diverse applications is a comparison of read coverage between experimental conditions. The amount of samples generated for such comparisons ranges from few replicates to hundreds of samples per condition for epigenome-wide association studies. Consequently, there is an urgent need for soft… Show more

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Cited by 289 publications
(261 citation statements)
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“…To identify DMRs, the reference genome was broken into 100 bp windows. The MEDIPS R package [64] was used to calculate differential coverage between control and exposure sample groups. The edgeR P value [65] was used to determine the relative difference between the two groups for each genomic window.…”
Section: Methodsmentioning
confidence: 99%
“…To identify DMRs, the reference genome was broken into 100 bp windows. The MEDIPS R package [64] was used to calculate differential coverage between control and exposure sample groups. The edgeR P value [65] was used to determine the relative difference between the two groups for each genomic window.…”
Section: Methodsmentioning
confidence: 99%
“…Mapped data in BAM format were further analyzed to find differentially methylated regions (DMRs) between the ob/ob vs wt and HFD vs RD in epididymal and inguinal adipose tissue. In the MEDIPS 41 package of R, reads mapped to the genome were extended to 300 nucleotides to account for all CpGs in the region. The genome was divided into non-overlapping bins of 250 nucleotides during this analysis and reads mapped per region were counted.…”
Section: Medip-seq Data Analysismentioning
confidence: 99%
“…The Bioconductor package MEDIPS (Lienhard et al, 2014) was used to identify DMRs from the MeDIP-seq data. Initially, each sample was verified to have sufficient read saturation for reproducibility, and then analyzed for CpG content and CpG enrichment.…”
Section: Methylation Sequencingmentioning
confidence: 99%