FASTmC: predictive models for non-reference-based estimations of DNA methylation
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ABSTRACT: We describe a suite of predictive models, coined FASTmC, for non-reference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels. Accurate estimations of true DNA methylation levels can be obtained from as few as several thousand short-reads generated from whole genome bisulfite sequencing. Our models make high-resolution time course or developmental, and large diversity studies practical regardless of species, genome size and availability of a reference genome.
ORGANISM(S): Sorghum bicolor Brachypodium distachyon Erythranthe guttata Populus trichocarpa Brassica oleracea
PROVIDER: GSE72155 | GEO | 2016/08/17
SECONDARY ACCESSION(S): PRJNA293211
REPOSITORIES: GEO
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