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相关概念视频

Real Time RT-PCR02:57

Real Time RT-PCR

56.6K
Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
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DNA Isolation01:24

DNA Isolation

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DNA isolation protocols can be fast and straightforward or complex and time-consuming depending on the type and quality of DNA required for further processing. For example, plasmid DNA extraction is a bit more complicated than genomic DNA extraction because of the need for an appropriate lysis method to separate plasmid DNA from gDNA during isolation. However, for specific applications, such as long-range DNA sequencing that require a good yield of high- quality DNA samples, we need to follow...
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相关实验视频

Updated: May 15, 2025

A Nonsequencing Approach for the Rapid Detection of RNA Editing
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A Nonsequencing Approach for the Rapid Detection of RNA Editing

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在复杂的双重重复制之间近似编辑距离有效地重复复制.

Riki Kawahara1, Shinichi Morishita1

  • 1Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan.

Bioinformatics (Oxford, England)
|April 9, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了一种高效的算法来测量复杂的并列重复 (TR) 之间的进化距离,这对于理解TR多样性和相关疾病至关重要. 这种方法可以显著加快分析速度,同时保持高精度.

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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
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Efficient PAM-Less Base Editing for Zebrafish Modeling of Human Genetic Disease with zSpRY-ABE8e
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相关实验视频

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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 进化生物学 进化生物学

背景情况:

  • 延长串联重复 (TRs) 与60多种疾病有关,复杂的TRs显示个人之间的分歧和扩张.
  • 要了解TR多样性的演变,需要测量复杂TR之间的编辑距离,并考虑单元重复和收缩.
  • 计算复杂TR编辑距离的现有算法是计算密集的.

研究的目的:

  • 提出一个高效的启发式算法来估计编辑距离与复制和收缩单位 (EDDC) 在复杂的TRs.
  • 开发一个软件工具 (hEDDC) 来实现这个算法.
  • 为了能够更快,更准确地对复杂的TRs进行基因分析.

主要方法:

  • 在复杂的TR中选择频率单位并将其编码为符号.
  • 将TRs压缩成使用Levenstein距离的最佳数列单位符号.
  • 从它们的压缩表示来估计TR对之间的EDDC.

主要成果:

  • 与传统方法相比,启发式算法实现了数量级的性能加快.
  • 估计的EDDC与合成数据集上的准确EDDC (皮尔森相关系数>0.983) 高度相关.
  • 开发的软件hEDDC实现了提出的高效算法.

结论:

  • 建议的启发式算法提供了一种高效和准确的方法来估计复杂TR中的EDDC.
  • 这一进步有助于研究TR的演变及其与疾病的关联.
  • 对于研究人员来说,hEDDC软件是公开的.