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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%...
17.7K
Genomics02:02

Genomics

36.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K
Epigenetic Regulation01:46

Epigenetic Regulation

31.1K
Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
31.1K
DNA Microarrays02:34

DNA Microarrays

17.4K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.4K
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

34.6K
Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
34.6K
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

47.0K
Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
47.0K

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相关实验视频

Updated: Jul 9, 2025

The MPLEx Protocol for Multi-omic Analyses of Soil Samples
10:12

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

Published on: May 30, 2018

11.0K

JMnorm:一种用于整合和比较表观遗传学的新联合多特征规范化方法.

Guanjue Xiang1, Yuchun Guo1, David Bumcrot1

  • 1CAMP4 Therapeutics Corp., One Kendall Square, Building 1400 West, Cambridge, MA 02139, USA.

Nucleic acids research
|December 6, 2023
PubMed
概括

JMnorm是一种用于同时规范多个表观遗传特征的新方法. 它保留了特征之间的生物关系,提高了数据的一致性和表观基因组学下游分析性能.

科学领域:

  • 表观基因组学是指表观基因组学.
  • 基因组法规 基因组法规
  • 计算生物学 计算生物学

背景情况:

  • 表观遗传特征组合模式反映了基因组区域的状态和功能.
  • 现有的规范化方法通常独立分析表观遗传特征,可能会扭曲生物关系.
  • 这种局限性阻碍了对表观基因组数据的全面生物学解释.

研究的目的:

  • 引入JMnorm,一种用于同时规范化多个表观遗传特征的新方法.
  • 为了提高数据规范化,利用表观遗传特征之间的相关性.
  • 提高表观基因组数据集的生物解释性和实用性.

主要方法:

  • 通过利用部分相关特征的信息,JMnorm同时使多个表观遗传特征正常化.
  • 该方法旨在适用于不同的细胞类型,物种和实验条件.
  • 对现有规范化方法进行了比较分析.

主要成果:

  • 与其他方法相比,JMnorm规范化数据更好地保留了细胞类型之间的跨表观遗传特征相关性.
  • JMnorm增强了生物复制品之间的一致性.
  • 在下游分析中,JMnorm 始终提高了性能,例如集群,预测和转录因子结合检测.

更多相关视频

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis
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Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis

Published on: December 12, 2017

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相关实验视频

Last Updated: Jul 9, 2025

The MPLEx Protocol for Multi-omic Analyses of Soil Samples
10:12

The MPLEx Protocol for Multi-omic Analyses of Soil Samples

Published on: May 30, 2018

11.0K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis
10:05

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis

Published on: December 12, 2017

22.2K

结论:

  • JMnorm有效地将技术噪音降到最低,同时在表观遗传数据集中保持真正的生物关系.
  • 该方法通过提高数据质量和可解释性来增强整合和比较表观遗传学.
  • JMnorm为分析复杂的表观基因组数据提供了一个强大的解决方案.