Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.8K
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%...
17.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

TDP-43 dysfunction facilitates the pathological conversion of tau.

Molecular neurodegeneration·2026
Same author

Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer's disease pathogenesis.

Neuron·2026
Same author

ALS-FTD-linked CCNF<sup>S621G</sup> drives increased hippocampal astrocyte ramification and mitochondrial dysfunction and impairs motor neuron excitability.

Journal of neuroinflammation·2026
Same author

Deep learning-based automated segmentation and quantification of glenoid and humeral head defects.

Chinese journal of traumatology = Zhonghua chuang shang za zhi·2026
Same author

DCPS modulates TDP-43-linked neurodegeneration through P-body-mediated RNA decay.

Neuron·2026
Same author

Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer's disease pathogenesis.

bioRxiv : the preprint server for biology·2026

相关实验视频

Updated: Jul 25, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.6K

基于用户经验的六种类型组装方法的对对比分析.

Shuying Sun1, Flora Cheng2, Daphne Han2

  • 1Department of Mathematics, Texas State University, San Marcos, TX, USA. ssun5211@yahoo.com.

BMC genomic data
|June 29, 2023
PubMed
概括

这项研究比较了六种类型组装 (HA) 方法,发现HapCUT2是最快的. 性能不同,SDhaP在数据集中显示出更高的不同意率.

更多相关视频

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.2K
Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

7.2K

相关实验视频

Last Updated: Jul 25, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.6K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.2K
Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

7.2K

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.

背景情况:

  • 哈普洛型信息对于理解遗传变异和疾病关联至关重要.
  • 哈普洛型组件 (HA) 从DNA测序数据中重建哈普洛型.
  • 有许多HA方法存在,每个都有明显的优势和局限性.

研究的目的:

  • 为了比较六个领先的单双型组装算法的性能:HapCUT2,MixSIH,PEATH,WhatsHap,SDhaP和MAtCHap.
  • 为了评估不同数据集和测序深度的算法效率 (运行时间) 和准确性.
  • 提供有关当前HA方法的优缺点的见解.

主要方法:

  • 六个HA算法 (HapCUT2,MixSIH,PEATH,WhatsHap,SDhaP,MAtCHap) 被应用到两个NA12878数据集 (hg19和hg38) 上.
  • 对染色体10进行了分析,使用了三个测序深度过级别 (DP1,DP15,DP30).
  • 通过CPU运行时间来评估效率;使用不同意率和开关距离来评估准确性.

主要成果:

  • 在所有数据集中,HapCUT2表现出最快的运行时间 (不到2分钟).
  • WhatsHap也非常高效,运行时间为21分钟或更短.
  • 与所有测试数据集中的其他算法相比,SDhaP的异议率显著更高.
  • 在区块和SNV计数和准确性方面,HapCUT2,PEATH,MixSIH和MAtCHap表现相似.

结论:

  • 对比分析强调了HA算法之间的显著性能差异.
  • 这些发现为研究人员选择合适的HA工具提供了宝贵的指导.
  • 这项研究增强了对目前用于遗传变异研究的HA方法能力的理解.