RT Journal Article
SR Electronic
T1 <em>FAST<sup>m</sup>C:</em> a suite of predictive models for non-reference-based estimations of DNA methylation
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 029496
DO 10.1101/029496
A1 Adam J. Bewick
A1 Brigitte T. Hofmesiter
A1 Kevin Lee
A1 Xiaoyu Zhang
A1 Dave W. Hall
A1 Robert J. Schmitz
YR 2015
UL http://biorxiv.org/content/early/2015/10/20/029496.abstract
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.