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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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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...
10.1K
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

755.1K
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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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.3K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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相关实验视频

Updated: Jul 25, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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使用短读序列测序检测与特征相关的结构变异.

Shunichi Kosugi1,2, Yoichiro Kamatani3, Katsutoshi Harada1

  • 1Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.

Cell genomics
|June 30, 2023
PubMed
概括

一个新的计算工具MOPline增强了从短读全基因组测序数据中检测基因组结构变异 (SV) 的能力,从而实现更好的遗传分析和特征关联研究.

关键词:
在CNV中,CNV是NV.在GWAS中,GWAS就是GWAS.MOPlineline 的时间表在这里,SV SV SV在WGS中,使用的是WGS.归算是指指责一个人.简短的阅读 短的阅读结构变体结构变体结构变化的结构变化.进行全基因组测序.

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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相关实验视频

Last Updated: Jul 25, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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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.
  • 人口遗传学 人口遗传学

背景情况:

  • 基因组结构变异 (SVs) 显著影响遗传和表型特征.
  • 在历史上,SV检测的有限可靠方法阻碍了全面的遗传分析.

研究的目的:

  • 开发和验证一个计算算法 (MOPline) 用于改进使用短读全基因组测序 (WGS) 数据进行 SV 检测和基因定型.
  • 为了利用MOPline进行大规模的SV认定和随后的与疾病和定量特征的关联研究.

主要方法:

  • 开发了MOPline算法,其中包括丢失呼叫恢复和高可靠性SV呼叫选择.
  • 将MOPline应用于3,672个高覆盖率WGS数据集,用于SV检测和基因定型.
  • 在181,622名日本个体和随后的全基因组关联研究 (GWAS) 中对SVs的推算.

主要成果:

  • MOPline检测到每个人大约有16000个SV,与以前的大规模项目相比增加了1.7-3.3倍,具有可比的统计质量.
  • 全基因组关联研究确定了41个与42种疾病和60种定量特征相关的41个显著的SV.
  • 发现了8个外来 SVs,包括5个新的关联,并确定了丰富的移动元素插入.

结论:

  • 短读WGS数据,当用MOPline等高级算法分析时,可以有效地识别罕见和常见的结构变异.
  • 这种方法显著提高了检测与各种人类特征和疾病相关的SVs的能力.
  • MOPline在结构变异检测领域及其在遗传关联研究中的应用方面取得了重大进展.