Literature DB >> 29986099

DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts.

Marco Catoni1, Jonathan Mf Tsang1,2, Alessandro P Greco3, Nicolae Radu Zabet1,3.   

Abstract

DNA methylation has been associated with transcriptional repression and detection of differential methylation is important in understanding the underlying causes of differential gene expression. Bisulfite-converted genomic DNA sequencing is the current gold standard in the field for building genome-wide maps at a base pair resolution of DNA methylation. Here we systematically investigate the underlying features of detecting differential DNA methylation in CpG and non-CpG contexts, considering both the case of mammalian systems and plants. In particular, we introduce DMRcaller, a highly efficient R/Bioconductor package, which implements several methods to detect differentially methylated regions (DMRs) between two samples. Most importantly, we show that different algorithms are required to compute DMRs and the most appropriate algorithm in each case depends on the sequence context and levels of methylation. Furthermore, we show that DMRcaller outperforms other available packages and we propose a new method to select the parameters for this tool and for other available tools. DMRcaller is a comprehensive tool for differential methylation analysis which displays high sensitivity and specificity for the detection of DMRs and performs entire genome wide analysis within a few hours.

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Year:  2018        PMID: 29986099      PMCID: PMC6212837          DOI: 10.1093/nar/gky602

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  35 in total

1.  Local DNA hypomethylation activates genes in rice endosperm.

Authors:  Assaf Zemach; M Yvonne Kim; Pedro Silva; Jessica A Rodrigues; Bradley Dotson; Matthew D Brooks; Daniel Zilberman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

2.  Detection of significantly differentially methylated regions in targeted bisulfite sequencing data.

Authors:  Katja Hebestreit; Martin Dugas; Hans-Ulrich Klein
Journal:  Bioinformatics       Date:  2013-05-08       Impact factor: 6.937

3.  MethylSig: a whole genome DNA methylation analysis pipeline.

Authors:  Yongseok Park; Maria E Figueroa; Laura S Rozek; Maureen A Sartor
Journal:  Bioinformatics       Date:  2014-05-16       Impact factor: 6.937

Review 4.  RNA-directed DNA methylation: an epigenetic pathway of increasing complexity.

Authors:  Marjori A Matzke; Rebecca A Mosher
Journal:  Nat Rev Genet       Date:  2014-05-08       Impact factor: 53.242

5.  Arabidopsis MET1 cytosine methyltransferase mutants.

Authors:  Mark W Kankel; Douglas E Ramsey; Trevor L Stokes; Susan K Flowers; Jeremy R Haag; Jeffrey A Jeddeloh; Nicole C Riddle; Michelle L Verbsky; Eric J Richards
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

6.  Mechanism of DNA methylation-directed histone methylation by KRYPTONITE.

Authors:  Jiamu Du; Lianna M Johnson; Martin Groth; Suhua Feng; Christopher J Hale; Sisi Li; Ajay A Vashisht; James A Wohlschlegel; Dinshaw J Patel; Steven E Jacobsen
Journal:  Mol Cell       Date:  2014-07-10       Impact factor: 17.970

7.  Global epigenomic reconfiguration during mammalian brain development.

Authors:  Ryan Lister; Eran A Mukamel; Joseph R Nery; Mark Urich; Clare A Puddifoot; Nicholas D Johnson; Jacinta Lucero; Yun Huang; Andrew J Dwork; Matthew D Schultz; Miao Yu; Julian Tonti-Filippini; Holger Heyn; Shijun Hu; Joseph C Wu; Anjana Rao; Manel Esteller; Chuan He; Fatemeh G Haghighi; Terrence J Sejnowski; M Margarita Behrens; Joseph R Ecker
Journal:  Science       Date:  2013-07-04       Impact factor: 47.728

8.  MOABS: model based analysis of bisulfite sequencing data.

Authors:  Deqiang Sun; Yuanxin Xi; Benjamin Rodriguez; Hyun Jung Park; Pan Tong; Mira Meong; Margaret A Goodell; Wei Li
Journal:  Genome Biol       Date:  2014-02-24       Impact factor: 13.583

9.  DNA methylation profiling of human chromosomes 6, 20 and 22.

Authors:  Florian Eckhardt; Joern Lewin; Rene Cortese; Vardhman K Rakyan; John Attwood; Matthias Burger; John Burton; Tony V Cox; Rob Davies; Thomas A Down; Carolina Haefliger; Roger Horton; Kevin Howe; David K Jackson; Jan Kunde; Christoph Koenig; Jennifer Liddle; David Niblett; Thomas Otto; Roger Pettett; Stefanie Seemann; Christian Thompson; Tony West; Jane Rogers; Alex Olek; Kurt Berlin; Stephan Beck
Journal:  Nat Genet       Date:  2006-10-29       Impact factor: 38.330

10.  methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data.

Authors:  Kamal Kishore; Stefano de Pretis; Ryan Lister; Marco J Morelli; Valerio Bianchi; Bruno Amati; Joseph R Ecker; Mattia Pelizzola
Journal:  BMC Bioinformatics       Date:  2015-09-29       Impact factor: 3.169

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  22 in total

1.  Analysis of Plant DNA Methylation Profiles Using R.

Authors:  Marco Catoni; Nicolae Radu Zabet
Journal:  Methods Mol Biol       Date:  2021

2.  Analysis of Bisulfite Sequencing Data Using Bismark and DMRcaller to Identify Differentially Methylated Regions.

Authors:  HueyTyng Lee
Journal:  Methods Mol Biol       Date:  2022

3.  CRISPR/Cas9-targeted mutagenesis of SlCMT4 causes changes in plant architecture and reproductive organs in tomato.

Authors:  Xuhu Guo; Jianguo Zhao; Zhiwen Chen; Jun Qiao; Yongfang Zhang; Hong Shen; Zhongli Hu
Journal:  Hortic Res       Date:  2022-04-11       Impact factor: 7.291

4.  DNA polymerase epsilon interacts with SUVH2/9 to repress the expression of genes associated with meiotic DSB hotspot in Arabidopsis.

Authors:  Cong Wang; Jiyue Huang; Jun Zhang; Yue Yu; Gregory P Copenhaver; Chenjiang You; Yingxiang Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-03       Impact factor: 12.779

Review 5.  DNA methylation analysis in plants: review of computational tools and future perspectives.

Authors:  Jimmy Omony; Thomas Nussbaumer; Ruben Gutzat
Journal:  Brief Bioinform       Date:  2020-05-21       Impact factor: 11.622

6.  MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data.

Authors:  Yadollah Shahryary; Rashmi R Hazarika; Frank Johannes
Journal:  BMC Genomics       Date:  2020-07-13       Impact factor: 3.969

7.  DNA (de)methylation in embryonic stem cells controls CTCF-dependent chromatin boundaries.

Authors:  Laura Wiehle; Graeme J Thorn; Günter Raddatz; Christopher T Clarkson; Karsten Rippe; Frank Lyko; Achim Breiling; Vladimir B Teif
Journal:  Genome Res       Date:  2019-04-04       Impact factor: 9.043

8.  Co-targeting RNA Polymerases IV and V Promotes Efficient De Novo DNA Methylation in Arabidopsis.

Authors:  Javier Gallego-Bartolomé; Wanlu Liu; Peggy Hsuanyu Kuo; Suhua Feng; Basudev Ghoshal; Jason Gardiner; Jenny Miao-Chi Zhao; Soo Young Park; Joanne Chory; Steven E Jacobsen
Journal:  Cell       Date:  2019-02-07       Impact factor: 41.582

9.  CryoEM structures of Arabidopsis DDR complexes involved in RNA-directed DNA methylation.

Authors:  Somsakul Pop Wongpalee; Shiheng Liu; Javier Gallego-Bartolomé; Alexander Leitner; Ruedi Aebersold; Wanlu Liu; Linda Yen; Maria A Nohales; Peggy Hsuanyu Kuo; Ajay A Vashisht; James A Wohlschlegel; Suhua Feng; Steve A Kay; Z Hong Zhou; Steven E Jacobsen
Journal:  Nat Commun       Date:  2019-09-02       Impact factor: 14.919

10.  Environmental and epigenetic regulation of Rider retrotransposons in tomato.

Authors:  Matthias Benoit; Hajk-Georg Drost; Marco Catoni; Quentin Gouil; Sara Lopez-Gomollon; David Baulcombe; Jerzy Paszkowski
Journal:  PLoS Genet       Date:  2019-09-16       Impact factor: 5.917

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