PT  - JOURNAL ARTICLE
AU  - Adam J. Bewick
AU  - Brigitte T. Hofmesiter
AU  - Kevin Lee
AU  - Xiaoyu Zhang
AU  - Dave W. Hall
AU  - Robert J. Schmitz
TI  - <em>FAST<sup>m</sup>C:</em> a suite of predictive models for non-reference-based estimations of DNA methylation
AID  - 10.1101/029496
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 029496
4099  - http://biorxiv.org/content/early/2015/10/20/029496.short
4100  - http://biorxiv.org/content/early/2015/10/20/029496.full
AB  - 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.