It primarily utilizes the dmrseq and bsseq algorithms and provides upstream pre-processing as well as downstream analyses and data visualization. DMRichR: A R package and executable for the statistical analysis and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark genome-wide cytosine reports).Pipelines and analyses can be so much work, so if you’ve got WGBS, RRBS, or enzymatic methyl-seq (EM-seq) data, why not check out these two repos by our very own Epigenetics Editor who made them with you mind:.Need to get a little intro into biostatistics? Go learn some R and check out the essentials from the bioconductor database to get you started with data that won’t analyze the easy way. Here are a few of the best data analysis and visualization packages out there: DNA Methylation: Use these data analysis and visualization tools to help decipher your data. Tools, where would humankind be without them? The EpiGenie team decided to search out and compile a list of the best tools and databases that epigenetics researchers can’t live without.ĭata is great! Now go do something with it.
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