An analytical pipeline for genomic representations used for cytosine methylation studies

Motivation: Representations of the genome can be generated bythe selection of a subpopulation of restriction fragments usingligation-mediated PCR. Such representations form the basis fora number of high-throughput assays, including the HELP assayto study cytosine methylation. We find that HELP data analysisis complicated not only by PCR amplification heterogeneity butalso by a complex and variable distribution of cytosine methylation.To address this, we created an analytical pipeline and novelnormalization approach that improves concordance between microarray-deriveddata and single locus validation results, demonstrating thevalue of the analytical approach. A major influence on the PCRamplification is the size of the restriction fragment, requiringa quantile normalization approach that reduces the influenceof fragment length on signal intensity. Here we describe allof the components of the pipeline, which can also be appliedto data derived from other assays based on genomic representations. Contact: jgreally{at}aecom.yu.edu Supplementary information: Supplementary data are availableat Bioinformatics online. Associate Editor: Joaquin Dopazo