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BioinformaticsBioinformatics
Peer-reviewed journal article

GEMBS -- high through-put processing for DNA methylation data from Whole Genome Bisulfite Sequencing (WGBS)

Angelika MerkeliD, Marcos Fernández-CallejoiD, Eloi CasalsiD, Santiago Marco‐SolaiD, Ronald P. SchuyleriD, Ivo Glynne GutiD, Simon Charles HeathiD

Abstract

INTRODUCTION INTRODUCTION RESULTS CONCLUSIONS Sample data Benchmark Variant calling from WGBS Genotype calling MATERIAL and METHODS References DNA methylation is essential for normal embryogenesis and development in mammals and most commonly found at CpG dinucleotides. Whole genome sequencing of bisulfite converted DNA (WGBS) currently represents the gold standard for studying DNA methylation at genomic level as contrary to other techniques, it provides an unbiased view of the entire genome at single base pair resolution (see Bock et al. 2012). In practice, due to its comparatively high cost, its application for the analysis of large data sets (i.e. > 50 samples) has been lagging behind other more cost-efficient platforms, s ...

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