染色质免疫沉淀-测序：全基因组范围研究蛋白质-DNA相互作用的新技术

染色质免疫沉淀-测序(ChIP-seq)是近年来新兴的将染色质免疫沉淀(ChIP)与深度测序技术相结合,在全基因组范围内分析DNA结合蛋白结合位点、组蛋白修饰、核小体定位和DNA甲基化的高通量技术．在新一代测序(NGS)技术的大力推动下,ChIP-seq提供了一种相对于ChIP-chip高分辨率、低噪音、高覆盖率的研究方法．随着测序成本的降低,ChIP-seq逐步成为研究基因调控和表观遗传机制的一种常用手段．本文就该技术的最近研究进展进行综述,并着重介绍ChIP-seq数据分析过程及该技术的实际应用情况.     

Non-referenced genome assembly from epigenomic short-read data

Current computational methods used to analyze changes in DNA methylation and chromatin modification rely on sequenced genomes. Here we describe a pipeline for the detection of these changes from short-read sequence data that does not require a reference genome. Open source software packages were used for sequence assembly, alignment, and measurement of differential enrichment. The method was evaluated by comparing results with reference-based results showing a strong correlation between chromatin modification and gene expression. We then used our de novo sequence assembly to build the DNA methylation profile for the non-referenced Psammomys obesus genome. The pipeline described uses open source software for fast annotation and visualization of unreferenced genomic regions from short-read data.