Institut Curie, Bioinformatics core facility, Paris, France.
INSERM U900, Paris, France.
Methods Mol Biol. 2022;2529:267-293. doi: 10.1007/978-1-0716-2481-4_13.
The field of genomics and genome-wide analysis has exploded since around 2008 with the development of high-throughput omics approaches, largely driven by the emergence of the next-generation sequencing technologies. Among the different biological applications supported by recent sequencing technologies, ChIP-seq (Chromatin ImmunoPrecipitation followed by Sequencing) is one of the most powerful techniques which has dramatically changed our view of the epigenetics landscape of cells.In this chapter, I will present and discuss the main steps of bioinformatic and biostatistical analysis of ChIP-seq data (Fig. 1). While this technique has been widely used to study transcription factor binding sites, I will focus here on the analysis of histone modifications.
自 2008 年以来,随着高通量组学方法的发展,基因组学和全基因组分析领域取得了爆炸式的发展,这主要得益于新一代测序技术的出现。在最近的测序技术支持的不同生物学应用中,ChIP-seq(染色质免疫沉淀 followed by Sequencing)是最强大的技术之一,它极大地改变了我们对细胞表观遗传学景观的看法。在这一章中,我将介绍和讨论 ChIP-seq 数据的生物信息学和生物统计学分析的主要步骤(图 1)。虽然这项技术已被广泛用于研究转录因子结合位点,但我将在这里重点介绍组蛋白修饰的分析。