2015
DOI: 10.1101/gr.196394.115
|View full text |Cite
|
Sign up to set email alerts
|

metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing data

Abstract: The detection of differentially methylated regions (DMRs) is a necessary prerequisite for characterizing different epigenetic states. We present a novel program, metilene, to identify DMRs within whole-genome and targeted data with unrivaled specificity and sensitivity. A binary segmentation algorithm combined with a two-dimensional statistical test allows the detection of DMRs in large methylation experiments with multiple groups of samples in minutes rather than days using off-the-shelf hardware. metilene ou… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
275
0
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 360 publications
(303 citation statements)
references
References 26 publications
4
275
0
1
Order By: Relevance
“…We next used established methods (Jühling et al, 2016) to identify differentially methylated regions (DMRs) between the TRBS patient and his sibling using all three peripheral blood cell populations. This analysis identified 4,054 DMRs with >10 CpGs and a mean methylation difference >0.2 (FDR<0.05; Figure 1D), which encompassed only 0.45% of all CpGs.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We next used established methods (Jühling et al, 2016) to identify differentially methylated regions (DMRs) between the TRBS patient and his sibling using all three peripheral blood cell populations. This analysis identified 4,054 DMRs with >10 CpGs and a mean methylation difference >0.2 (FDR<0.05; Figure 1D), which encompassed only 0.45% of all CpGs.…”
Section: Resultsmentioning
confidence: 99%
“…Identification of differentially methylated regions (DMRs). The program ‘metilene’ (Jühling et al, 2016) was used to analyze the raw methylation ratios at all CpGs to identify differentially methylated regions (DMRs) with >10 CpGs and a mean methylation difference between the same groups of >0.2. DMRs were filtered to retain those with FDR <0.05, and adjacent DMRs <50bp apart were merged.…”
Section: Methods and Resourcesmentioning
confidence: 99%
“…Libraries for DNA methylation were prepared using the SeqCap Epi System (Roche, Basel, Switzerland) and sequenced on the Illumina HiSeq 4000. Reads were aligned to GRCh38 using Bowtie 2 [23], DNA methylation ratios for CpGs were called by Bismark [24], and differentially methylated regions (DMRs) were identified using Metilene [25]. Gene set enrichment analysis was performed on lists of DMR-associated genes using WebGestalt [22].…”
Section: Genome-wide Targeted-capture Dna Methylation Sequencingmentioning
confidence: 99%
“…Methylation ratios were obtained using the methratio.py script. The program "metilene" (45) was used to analyze the raw methylation ratios at all CpGs to identify DMRs with more than 10 CpGs and a mean methylation difference between the same groups of more than 0.2. DMRs were filtered to retain those with an FDR of less than 0.05, and adjacent DMRs less than 50 bp apart were merged.…”
Section: Table 2 Mutagenesis and C-terminal Tag Cloning Primer Sequementioning
confidence: 99%