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Introduction into the analysis of high-throughput-sequencing based epigenome data

机译:基于高通量测序的表观基因组数据分析简介

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Sequencing-based approaches now allow high-resolution, genome-scale investigation of cellular epigenetic landscapes. For example, mapping of open chromatin regions, post-translational histone modifications and DNA methylation across a whole genome is now feasible, and new non-coding regulatory RNAs can be sensitively identified via RNA sequencing. The resulting large-scale data sets promise to contribute towards a more precise and complete understanding of gene regulation and to yield insights into the interplay between genomes and the environment. In this article, I review some of the conceptual issues and currently available software tools for the analysis of sequencing-based whole-genome epigenetics data.
机译:基于测序的方法现在可以对细胞表观遗传环境进行高分辨率的基因组规模研究。例如,现在可以在整个基因组中绘制开放的染色质区域,翻译后的组蛋白修饰和DNA甲基化,并且可以通过RNA测序灵敏地鉴定出新的非编码调控RNA。由此产生的大规模数据集有望有助于对基因调控的更精确和完整的理解,并有助于深入了解基因组与环境之间的相互作用。在本文中,我回顾了一些概念性问题以及用于基于序列的全基因组表观遗传学数据分析的当前可用软件工具。

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