处理交叉链接和免疫沉降数据到注释绑定站点的协议
Shuhao Xu1, Grady G Nguyen1, Jack T Naritomi1
1Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92037, USA; Sanford Stem Cell Institute and Stem Cell Program, University of California, San Diego, La Jolla, CA 92037, USA; Institute for Genomic Medicine, UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA 92037, USA.
STAR protocols
|April 26, 2024
概括
本研究介绍了Skipper,这是一个用于分析交叉链接和免疫沉 (CLIP) 数据的计算管道,以确定RNA结合部位. 该协议使结合点的可重现映射和从原始CLIP测序数据下游分析成为可能.
科学领域:
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 交叉链接和免疫沉 (CLIP) 是一种强大的技术,用于识别蛋白质的RNA结合部位.
- 分析CLIP数据以确定精确的结合位置和评估丰富性可能是计算上具有挑战性的.
研究的目的:
- 通过使用Skipper计算管道来处理和分析CLIP数据的详细协议.
- 使研究人员能够绘制可复制RNA结合点的地图,并进行下游分析.
主要方法:
- 船长管道分区注释了转录区域用于分析.
- 将β-双项模型配合到数据中,以识别丰富结合的窗口.
- 该协议指导用户从原始的CLIP数据到可重复的绑定站点识别.
主要成果:
- 该协议有助于从CLIP数据中绘制可复制RNA结合点的地图.
- 丰富的绑定窗口可以可靠地调用并用于进一步调查.
- 该管道支持各种研究应用的可定制选项.
结论:
- 司机提供了一个强大的和适应性的协议,用于CLIP数据分析.
- 这种方法提高了识别和分析RNA-蛋白相互作用的能力.
- 该协议旨在简化发现RNA结合部位的过程.
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