Analysing and interpreting DNA methylation data
By Christoph Bock. Nature reviews genetics, 2012
591 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/7fd9550403c4ed4bd66bd60fb2d16e4eef43c54b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Nathan C. Sheffield
- Andreas Schönegger
- Angelo Nuzzo
- Paul Datlinger
- Matthias Farlik
- Johanna Klughammer
- Andrew D. Smith
- Christoph Bock
In Molecular Biology
- Matthias Farlik
- Johanna Klughammer
- Nathan C. Sheffield
- Paul Datlinger
- Andreas Schönegger
- Angelo Nuzzo
- Andrew D. Smith
- Christoph Bock
Citations in the corpus
- Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics (2015, methodology): “Alignment was done with the Bismark Bisulfite Mapper (Krueger and Andrews, 2011),whichisathree-letterbisulfitealignerthatusesaninsilicobisulfite-con-verted reference genome (Bock, 2012).”
- A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package. (2014, unknown): “From a technological perspective, MeRIP-Seq can be considered a marriage of three relatively well-studied techniques: ChIP-Seq [6, 7], RNA-Seq [8, 9] and MeDIP-Seq [10, 11], yet it brings new computational challenges not addressed previously [12].”
- A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics (2013, background): “Users may also use alternative mappers (see [14] and [15] for reviews).”