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相关概念视频

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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对于Saccharomyces cerevisiae的ChIP-seq数据处理和相对和定量信号规范化

Kris G Alavattam1, Bradley M Dickson2, Rina Hirano1

  • 1Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.

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|May 14, 2025
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概括

本协议详细介绍了对Saccharomyces cerevisiae的高通量测序 (ChIP-seq) 数据处理的染色体免疫沉,重点是使用无峰值定量ChIP-seq (siQ-ChIP) 方法进行可复制信号正常化,以进行准确的比较.

关键词:
生物信息学是一种生物信息学.在 ChIP-seqq.数据处理数据处理.规范化 规范化 规范化可复制性 可复制性它们中的一种是S. cerevisiae.信号缩放的扩展.这是一个spike-in.siQ-ChIP 的意思是

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科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 具有高通量测序 (ChIP-seq) 的染色体免疫沉对于全基因组蛋白质-DNA相互作用分析至关重要.
  • 标准的ChIP-seq数据处理经常面临信号规范化和数据偏差的挑战.
  • 准确和可重复的数据比较需要强大的规范化策略.

研究的目的:

  • 为Saccharomyces cerevisiae中ChIP-seq数据处理提供一个全面的协议.
  • 专注于信号规范化技术,以进行可靠的数据分析和比较.
  • 为具有有限生物信息学经验的研究人员提供一个用户友好的指南.

主要方法:

  • 为Linux和macOS实现一个ChIP-seq数据处理工作流.
  • 使用无峰值定量ChIP-seq (siQ-ChIP) 方法进行绝对信号量化.
  • 使用规范覆盖范围进行相对ChIP-seq数据比较.

主要成果:

  • 一个可重现的ChIP-seq数据处理工作流程,集成数据采集,修剪,对齐和信号计算.
  • siQ-ChIP提供了一种严格的替代方案,用于实现绝对IP效率的半定量尖端正常化.
  • 标准化覆盖范围使得可靠的ChIP-seq数据在样本中的相对比较成为可能.

结论:

  • siQ-ChIP方法和规范覆盖范围为ChIP-seq数据规范化提供了数学严格和可靠的替代方案.
  • 该协议促进了蛋白质-DNA相互作用的精确和可重复的全基因组分析.
  • 该指南广泛适用于各种物种的ChIP-seq研究,包括Saccharomyces cerevisiae和Schizosaccharomyces pombe.