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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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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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PoreMeth2用于解码纳米孔测序的甲基组变化的演化.

Gianluca Mattei1, Marta Baragli1, Barbara Gega2

  • 1Department of Information Engineering, University of Florence, 50139 Florence, Italy; albertomagi@gmail.com gianluca.mattei@unifi.it marta.baragli@unifi.it.

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概括

一个新的R库PoreMeth2使用纳米孔测序来分析类多样性,以识别差异甲基化区域 (DMR). 这种方法增强了整个人类甲基组的表观遗传分析,为基因调节提供了洞察力.

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科学领域:

  • 表观遗传学和基因组学
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 差异甲基化分析传统上识别了连续的CpG位点与改变的平均甲基化.
  • 经样式及其频率为基因组区域形成提供了更深入的见解.
  • 目前使用短读测序的现有方法限制了Epiallele分析到高CpG密度区域,只覆盖了人类甲基组的一半.

研究的目的:

  • 介绍PoreMeth2,一个新的R库,用于分析从纳米孔数据的样多样性和甲基化频率.
  • 为了在各种基因组背景下实现全面的差异甲基化区域 (DMR) 识别.
  • 为DMR的形成机制及其监管作用提供见解.

主要方法:

  • 开发PoreMeth2,一个R包,整合了类多样性和甲基化频率.
  • 利用长期阅读的纳米孔测序数据进行基频率分析.
  • 对癌症和质细胞数据集的PoreMeth2的应用,用于DMR识别和注释.

主要成果:

  • PoreMeth2通过整合样多样性和甲基化频率,成功地识别了DMR.
  • 该方法可以在高和低CpG密度区域进行分析,扩大人类甲基组的覆盖范围.
  • 与最先进的方法相比,PoreMeth2在区分影响基因表达的表观基因变异方面表现出卓越的性能.

结论:

  • PoreMeth2通过结合长读序列的样信息来推进差异甲基化分析.
  • 该图书馆为了解DMR形成机制及其监管功能提供了强大的工具.
  • PoreMeth2增强了识别表观基因变化的能力,对基因表达有显著影响.