TY - JOUR T1 - <em>FAST<sup>m</sup>C:</em> a suite of predictive models for non-reference-based estimations of DNA methylation JF - bioRxiv DO - 10.1101/029496 SP - 029496 AU - Adam J. Bewick AU - Brigitte T. Hofmesiter AU - Kevin Lee AU - Xiaoyu Zhang AU - Dave W. Hall AU - Robert J. Schmitz Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/10/20/029496.abstract N2 - 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. ER -