相关概念视频
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
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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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-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...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Sanger Sequencing
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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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相关实验视频
Updated: Jul 4, 2025

10:34
Ultra-long Read Sequencing for Whole Genomic DNA Analysis
Published on: March 15, 2019
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生物基础规模的DNA组装验证使用经济高效的高通量长读序列测序.
Peter Vegh1, Sophie Donovan1, Susan Rosser1
1Edinburgh Genome Foundry, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
ACS synthetic biology
|February 8, 2024
概括
研究人员开发了一种使用纳米孔测序的新方法,以快速检查生物基础中的DNA结构准确性. 这种经过验证的实验室和软件协议改善了合成生物学工作流程,用于等离子体分析.
科学领域:
- 合成生物学 合成生物学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 生物基础设施自动化了合成DNA结构 (等离子体) 的设计,建造和测试.
- 精确评估DNA构造忠实性对于合成生物学应用至关重要.
- 现有的质量控制方法,如限制消化和PCR碎片分析,可能耗时,可能无法提供全面的数据.
研究的目的:
- 建立一种快速和深入的质量控制方法,用于评估生物造厂中的DNA构造忠实性.
- 实施单分子测序使用牛津纳米孔技术进行等离子体分析.
- 开发一种用户友好的软件解决方案,用于分析和解释测序数据.
主要方法:
- 利用牛津纳米孔单分子测序用于组装等离子体质量控制.
- 开发了一个Nextflow管道用于自动化数据处理.
- 创建了一个Python包,用于深入分析和报告生成.
主要成果:
- 成功建立了用于等离子体验证的实验室和软件协议.
- 基于纳米孔的方法提供了DNA结构忠实性的快速和详细分析.
- 开发的软件使研究人员能够高效地解释测序数据.
结论:
- 新的协议验证了使用纳米孔长读的组装,克隆或编辑等离子体.
- 这种方法是遗传学,合成生物学和测序社区的宝贵资源.
- 综合实验室和软件解决方案提高了生物矿操作的效率和准确性.

