Journal
EPIGENOMICS
Volume 10, Issue 3, Pages 249-258Publisher
FUTURE MEDICINE LTD
DOI: 10.2217/epi-2017-0093
Keywords
epigenetics; microarray; software
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Aim: Bioinformatics analysis for Illumina Infinium Human DNA methylation BeadArray is essential, but still remains difficult task for many experimental researchers. We here aimed to develop a browser-accessible bioinformatics tool for analyzing the BeadArray data. Materials & methods: The tool was established as an analytical pipeline using R, Perl and Python programming languages. Results: We introduced a method that groups neighboring probes into a genomic block, which facilitated efficient identification of densely methylated/unmethylated regions. The tool, MACON, provided probe filtering, beta-mixture quantile normalization, grouping into genomic blocks, annotation and production of a data subset.
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