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The tricky art of scaling quantitative data across libraries, typically to account for differences in sequencing depth. This can also be about scaling for read source length, like transcript or gene length, in order to enable comparisons across genes.

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What are some good practices to follow during EPIC DNA methylation data analysis?

This means that starting with .idat files, normalization should be performed (for example, via the minfi package). …
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