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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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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Next-generation Sequencing03:00

Next-generation Sequencing

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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.
Next-Generation Sequencing Methods
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Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

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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.
Challenges of the Maxam-Gilbert Method
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相关实验视频

Updated: Jan 13, 2026

Sequencing of mRNA from Whole Blood using Nanopore Sequencing
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亚麻基因组装在纳米孔测序数据的进展.

Elena N Pushkova1, Alexander A Arkhipov1,2, Nadezhda L Bolsheva1

  • 1Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.

Plants (Basel, Switzerland)
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概括

研究人员使用牛津纳米孔技术 (ONT) 测序生成了高质量的亚麻 (Linum usitatissimum L.) 基因组组件. 这些新组件改进了现有的参考资料,有助于遗传研究和提高这种多用途植物的作物.

关键词:
这就是Hifiasm.在Linum usitatissimum中使用最多.这是一个纳米孔.亚麻 亚麻 亚麻 亚麻 在线基因组组装组合的基因组.长时间阅读序列排序.端粒到端粒的端粒.

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科学领域:

  • 基因组学就是基因组学.
  • 植物科学 植物科学
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因组组装质量随着第三代测序和先进的生物信息学显著提高.
  • 亚麻 (Linum usitatissimum L.) 是一种有价值的多用途作物,但高质量的基因组参考对于其遗传进步至关重要.

研究的目的:

  • 为两个亚麻品种K-3018和Svyatogor.生成高质量的近端粒到端粒 (T2T) 基因组组件.
  • 根据现有的亚麻基因组参考,评估这些组件的质量.

主要方法:

  • 使用的牛津纳米孔技术 (ONT) 简单R10.4.1测序数据.
  • 采用了针对ONT读数优化的Hifiasm算法.
  • 使用Hi-C接触地图和Illumina测序数据验证组件.

主要成果:

  • 成功组装了K-3018基因组 (491.1 Mb) 和Svyatogor基因组 (497.8 Mb),每个基因组都包含大部分完整的染色体与端粒重复.
  • K-3018和Svyatogor组合的质量超过了目前的参考亚麻基因组 (品种T397) 的质量.
  • 对比分析表明,在染色体水平上,亚麻基因组之间存在普遍相似性,但存在较小的大规模变异.

结论:

  • 在没有PacBio HiFi或光学地图的情况下,使用ONT简单R10.4.1读取和Hifiasm实现了两个近T2T亚麻基因组组.
  • 高质量的亚麻基因组对于推进遗传研究,评估多样性以及开发育种和基因组编辑策略至关重要.