CMARRT statistics

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Citations per year

Number of citations per year for the bioinformatics software tool CMARRT

Tool usage distribution map

This map represents all the scientific publications referring to CMARRT per scientific context
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CMARRT specifications


Unique identifier OMICS_18712
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 1.3
Stability Stable
Source code URL
Maintained Yes




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Publication for CMARRT

CMARRT citations


Impact of Anaerobiosis on Expression of the Iron Responsive Fur and RyhB Regulons

PMCID: 4676285
PMID: 26670385
DOI: 10.1128/mBio.01947-15

[…] as previously described (). ChIP and input data were quantile normalized using “normalize.Quantiles” from the preprocessCore package () in R (), and enriched binding regions were identified using the CMARRT peak-calling algorithm (P < 0.1) (). Enriched regions were removed from the final Chip-seq peak list if they were also present in the Fur− strain data. […]


Effects of Low Dose Diethylstilbestrol Exposure on DNA Methylation in Mouse Spermatocytes

PLoS One
PMCID: 4654501
PMID: 26588706
DOI: 10.1371/journal.pone.0143143

[…] p and control group, we can calculate the ratio between experiment group and control group, the absolute methylation level and relative methylation levels of each promoter in each sample. We used the CMARRT algorithm to calculate the enrichment region of the probe peak, the value p was calculated by the Gauss distribution. And then the promoter region of the gene was annotated, the annotation file […]


Prenatal stress induced programming of genome wide promoter DNA methylation in 5 HTT deficient mice

PMCID: 4350514
PMID: 25335169
DOI: 10.1038/tp.2014.107

[…] tween-sample quantile normalization was applied to the signal log2 ratios, followed by a 300 bp sliding-window median smoothing. Autosomal regions enriched by the MeDIP procedure were detected by the CMARRT algorithm. With the present (=1) and absent (=0) calls for MeDIP enrichment, effect directions were determined as previously described. Briefly, genotype (G) effect directions (d) were calculat […]


The Cavβ1a subunit regulates gene expression and suppresses myogenin in muscle progenitor cells

PMCID: 4068134
PMID: 24934157
DOI: 10.1083/jcb.201403021

[…] The average log2 (Cavβ1a/IgG) intensity value of the two biological replicates was computed for each probe position. Regions enriched for Cavβ1a relative to IgG were determined using CMARRT () on the average log2 (Cavβ1a/IgG) at the FDR level of 0.05. Peak annotation, distance to TSS, and position to nearest gene were performed using ChIPpeakAnno () and the Galaxy web platform (; […]


Genome scale Analysis of Escherichia coli FNR Reveals Complex Features of Transcription Factor Binding

PLoS Genet
PMCID: 3688515
PMID: 23818864
DOI: 10.1371/journal.pgen.1003565
call_split See protocol

[…] re was a strong correlation between enriched regions of ChIP-chip biological replicates (R = 0.7). ChIP-chip peaks for FNR, H-NS and IHF were identified in each data set by the peak finding algorithm CMARRT, version 1.3 (FDR of 0.01) and proportional Z-tests were used to determine significant differences between proportional data.For ChIP-seq experiments, 10 ng of immunoprecipitated and purified […]


DNA Methylation Mediated Control of Gene Expression Is Critical for Development of Crown Gall Tumors

PLoS Genet
PMCID: 3567176
PMID: 23408907
DOI: 10.1371/journal.pgen.1003267

[…] h of the two groups were then subjected to a 500 bp sliding window median smoothing in order to create a robust and smoothed SLR (sSLR) for each probe position in each group. An implementation of the CMARRT algorithm , was used for detection of genomic regions with consistently increased sSLRs across at least five consecutive probes for each of the two groups. For all regions displaying signal en […]

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CMARRT institution(s)
Department of Statistics, University of Wisconsin, Madison, WI, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
CMARRT funding source(s)
Supported in part by a PhARMA Foundation Research Starter Grant and NIH grants 1-R01-HG03747-01 and 4-R37-GM038660-20.

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