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. 2019 May 20;47(W1):W166–W170. doi: 10.1093/nar/gkz398

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© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — Workflow of the EPIC-TABSAT software. (A) Input to the software are FASTQ files, a file containing the targets of interest, and a set of parameters. Optionally, an array-based methylation data file can be provided which is combined with the sequencing data. (B) The workflow consists of several quality assessment steps, mapping, methylation calling, and output creation. (C) Methylation calling output and epiallele results along with quality metrics and the correlation of sequencing with the epigenome data are presented.