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bioRxiv · 10.1101/029496

FASTmC: a suite of predictive models for non-reference-based estimations of DNA methylation

Adam J Bewick·Brigitte T Hofmeister·Kevin J Lee·Xiaoyu Zhang·Dave W Hall·Robert J Schmitz
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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. These models make high-resolution time course or developmental, and large diversity studies practical regardless of species, genome size and availability of a reference genome.

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Adam J Bewick, Brigitte T Hofmeister, Kevin J Lee, Xiaoyu Zhang, Dave W Hall, Robert J Schmitz. 2015-10-20. FASTmC: a suite of predictive models for non-reference-based estimations of DNA methylation. https://doi.org/10.1101/029496

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