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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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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
Although all next-generation methods use different technologies, they all share a set of standard features....
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Sanger Sequencing01:57

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: Sep 9, 2025

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

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斯卡法里:探索scDNA-seq数据

Sophie-Marie Wind1, Thea Reinkens2, Yvonne Lisa Behrens3

  • 1Institute of Medical Informatics, University of Muenster, Muenster, 48149, Germany.

Bioinformatics (Oxford, England)
|September 2, 2025
PubMed
概括
此摘要是机器生成的。

斯卡法里是一个新的开源工具,用于分析单细胞DNA测序数据. 它提供了用户友好的质量控制和变异分析,解决了当前生物信息软件的缺口.

关键词:
质量控制单细胞DNA测序变种调用

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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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Pattern-based Search of Epigenomic Data Using GeNemo
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科学领域:

  • 基因组学
  • 生物信息学
  • 分子生物学

背景情况:

  • 单细胞测序允许单个细胞表达模式的分析.
  • 单细胞DNA测序提供了单细胞基因组的洞察力.
  • 有限的开源软件用于处理和质量分析单细胞DNA测序数据.

研究的目的:

  • 这是一个新的开源软件工具.
  • 为单细胞DNA测序提供用户友好的数据质量控制.
  • 为了使单细胞DNA测序数据的探索性变异分析和可视化.

主要方法:

  • 斯卡法里作为一个R生物导体包.
  • 该工具具有集成的闪亮应用程序,用于交互使用.
  • 它可以在https://bioconductor.org/packages/scafari下载.

主要成果:

  • 斯卡法里提供易于使用的数据质量控制.
  • 该软件有助于探索变种分析.
  • 支持单细胞DNA测序数据的可视化.

结论:

  • 斯卡法里解决了对单细胞DNA测序分析的用户友好开源软件的需求.
  • 该工具提高了这种数据类型的质量控制和变异分析的可访问性.
  • 斯卡法里使研究人员能够从单细胞基因组数据中获得更深入的见解.