RADAR: differential analysis of MeRIP-seq data with a random effect model
RADAR: differential analysis of MeRIP-seq data with a random effect model
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England: BioMed Central Ltd
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English
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England: BioMed Central Ltd
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Epitranscriptome profiling using MeRIP-seq is a powerful technique for in vivo functional studies of reversible RNA modifications. We develop RADAR, a comprehensive analytical tool for detecting differentially methylated loci in MeRIP-seq data. RADAR enables accurate identification of altered methylation sites by accommodating variability of pre-immunoprecipitation expression level and post-immunoprecipitation count using different strategies. In addition, it is compatible with complex study design when covariates need to be incorporated in the analysis. Through simulation and real dataset analyses, we show that RADAR leads to more accurate and reproducible differential methylation analysis results than alternatives, which is available at
https://github.com/scottzijiezhang/RADAR
....
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RADAR: differential analysis of MeRIP-seq data with a random effect model
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TN_cdi_doaj_primary_oai_doaj_org_article_034a399bc5b94967bd10e5e307ab8404
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_034a399bc5b94967bd10e5e307ab8404
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1474-760X,1474-7596
E-ISSN
1474-760X
DOI
10.1186/s13059-019-1915-9