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原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-12-02
摘要
The detection of differentially methylated regions (DMRs) is a necessary prerequisite for characterizing different epi遺傳 states. We present a novel program, metilene, to identify DMRs within whole-基因組 and targeted data with unrivaled specificity and sensitivity. A binary segmentation algorithm combined with a two-dimensional 統計 test allows the detection of DMRs in large methylation experiments with multiple groups of samples in minutes rather than days using off-the-shelf hardware. metilene outperforms other state-of-the-art tools for low coverage data and can estimate missing data. Hence, metilene is a versatile tool to study the effect of epi遺傳 modifications in differentiation/development, tumorigenesis, and systems biology on a global, 基因組-wide level. Whether in the framework of interna
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