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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.7K
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%...
17.7K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.2K
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,...
15.2K
Sanger Sequencing01:57

Sanger Sequencing

754.6K
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...
754.6K
Determination of Expected Frequency01:08

Determination of Expected Frequency

2.2K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.2K
Genetic Variation01:25

Genetic Variation

297
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
297
Next-generation Sequencing03:00

Next-generation Sequencing

89.0K
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....
89.0K

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相关实验视频

Updated: Jul 11, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.1K

EMVC-2:一个高效的单核酸变体调用器,基于预期最大化.

Guillermo Dufort Y Álvarez1, Martí Xargay-Ferrer2, Alba Pagès-Zamora2

  • 1INCO, Facultad de Ingeniería, Universidad de la República, Montevideo 11300, Uruguay.

Bioinformatics (Oxford, England)
|November 14, 2023
PubMed
概括

EMVC-2是一种从下一代测序 (NGS) 数据中检测单核酸变异 (SNV) 的新方法. 与现有的变异调用器相比,该工具提供了更高的准确性和速度,有助于基因组学和个性化医学.

更多相关视频

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

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

Published on: August 21, 2016

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相关实验视频

Last Updated: Jul 11, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.1K
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

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

Published on: August 21, 2016

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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.
  • 计算生物学 计算生物学

背景情况:

  • 单核酸变异 (SNV) 是常见的遗传变异,对基因组学和个性化医学至关重要.
  • 目前来自下一代测序 (NGS) 数据的SNV检测方法面临着计算复杂性和准确性的挑战.
  • 需要先进的方法来实现快速可靠的SNV通话.

研究的目的:

  • 引入 EMVC-2,一种新且高效的方法,用于从 NGS 数据进行 SNV 调用.
  • 解决现有的SNV检测工具在速度和准确性方面的局限性.

主要方法:

  • 在EMVC-2中采用了多类整体分类策略.
  • 它使用预期最大化算法来确定每个位置最可能的基因型.
  • 一个决策树被纳入用于验证推断变体和过出错误的阳性.

主要成果:

  • 在多个人类NGS数据集和已知的SNV数据集上评估了EMVC-2.
  • 该方法在最先进的变异呼叫器中表现出优越的性能.
  • 平均而言,EMVC-2实现了更高的准确性和更快的处理速度.

结论:

  • EMVC-2代表了从NGS数据中SNV检测的重大进步.
  • 该方法为基因组分析提供了更准确和计算效率更高的解决方案.
  • EMVC-2是免费可用的,促进其在研究和临床环境中的采用.