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

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

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

DOGT: Double-Order Graph Transformers With Adaptive Node-Group Learning.

IEEE transactions on neural networks and learning systems·2026
Same author

Accurately Deciphering Tissue Heterogeneity From Spatial Multi-Modal and Multi-Omics With STransformer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

CGHNet: Cross-Guided 2D-3D Hybrid Network with attention mechanism for focal liver lesion classification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

WEmarker: breast cancer-specific prognostic analysis with weighted multiplex network embedding.

IEEE transactions on computational biology and bioinformatics·2026
Same author

FluNexus: A versatile web platform for antigenic prediction and visualization of influenza A viruses.

iMeta·2026
Same author

GDSim: accurate simulation for single-cell transcriptomes based on the guided diffusion model.

Briefings in bioinformatics·2026
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jul 6, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

990

SV验证:一种基于长时间阅读的验证方法,用于基因组结构变异.

Yan Zheng1, Xuequn Shang1

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an, China.

PloS one
|January 5, 2024
PubMed
概括
此摘要是机器生成的。

一种名为SVvalidation的新方法使用长时间读取的测序数据来准确验证基因组中的结构变异 (SV). 该工具改进了现有的SV检测和验证方法,提供更高的精度和回忆.

更多相关视频

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
11:11

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

16.8K
Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example
05:45

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

Published on: March 11, 2020

8.8K

相关实验视频

Last Updated: Jul 6, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

990
Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
11:11

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

16.8K
Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example
05:45

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

Published on: March 11, 2020

8.8K

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:

  • 在基因组序列中准确检测结构变异 (SV) 对理解遗传疾病至关重要.
  • 现有的SV检测工具往往产生高假阳性率,需要强大的验证方法.
  • 目前的SV验证技术缺乏足够的准确性和效率.

研究的目的:

  • 开发一种高效且准确的方法,使用长读序列数据验证结构变异 (SVs).
  • 解决现有的 SV 验证方法的局限性,特别是在复杂的基因组区域.

主要方法:

  • 开发SVvalidation,一种利用长时间读取的测序数据的新计算方法.
  • 对SV验证与不同数据集中现有的SV验证工具进行比较分析.
  • 评估SV验证在重复的基因组区域内识别SV的性能.

主要成果:

  • SV验证在验证SV方面表现出卓越的性能,特别是在具有挑战性的重复区域内.
  • 该方法可以准确地确定已识别的SVs的同卵性或异卵性.
  • SV验证实现了最高的回忆,精度和F1得分,比现有方法改进了7-16%左右.
  • 该工具是多功能和适用于各种类型的结构变化.

结论:

  • 在SV验证的准确性和效率方面,SV验证提供了显著的进步.
  • 该方法提高了SV检测管道的可靠性,特别是在复杂的基因组分析中.
  • 对于研究基因组结构变异的研究人员来说,SV验证是一个有价值的工具.