دورية أكاديمية

RADAR: differential analysis of MeRIP-seq data with a random effect model

التفاصيل البيبلوغرافية
العنوان: RADAR: differential analysis of MeRIP-seq data with a random effect model
المؤلفون: Zijie Zhang, Qi Zhan, Mark Eckert, Allen Zhu, Agnieszka Chryplewicz, Dario F. De Jesus, Decheng Ren, Rohit N. Kulkarni, Ernst Lengyel, Chuan He, Mengjie Chen
المصدر: Genome Biology, Vol 20, Iss 1, Pp 1-17 (2019)
بيانات النشر: BMC, 2019.
سنة النشر: 2019
المجموعة: LCC:Biology (General)
LCC:Genetics
مصطلحات موضوعية: N 6-adenosine methylation (m6A), Differential methylation, MeRIP-seq, Biology (General), QH301-705.5, Genetics, QH426-470
الوصف: Abstract 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1474-760X
Relation: https://doaj.org/toc/1474-760X
DOI: 10.1186/s13059-019-1915-9
URL الوصول: https://doaj.org/article/034a399bc5b94967bd10e5e307ab8404
رقم الأكسشن: edsdoj.034a399bc5b94967bd10e5e307ab8404
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1474760X
DOI:10.1186/s13059-019-1915-9