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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.6K
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...
13.6K

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

Genome-wide cline analysis identifies new locus contributing to a barrier to gene flow across an Antirrhinum hybrid zone.

PLoS genetics·2026
Same author

SMART-MHmix: A probabilistic model for microhaplotype-based forensic DNA mixture analysis.

Forensic science international. Genetics·2026
Same author

Differential cellulose distribution drives polarized growth of cotton fibers.

Nature communications·2026
Same author

The Gap-free Petunia Genome Assemblies Reveal the Evolutionary Dynamics of the S-locus Supergene.

Genomics, proteomics & bioinformatics·2026
Same author

Chromosome-scale haplotype-resolved genome assembly of the autotetraploid alfalfa cultivar Bolivia.

Plant biotechnology journal·2025
Same author

S-RNase-based self-incompatibility in angiosperms: Degradation, condensation, and evolution.

Plant physiology·2025

相关实验视频

Updated: Jul 25, 2025

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

fastHaN:一个快速且可扩展的程序,用于构建大样本序列的单元型网络.

Lianjiang Chi1,2, Xiaolong Zhang1,2,3, Yongbiao Xue1,2,3

  • 1Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.

Molecular ecology resources
|June 26, 2023
PubMed
概括

fastHaN是一个新的,高效的程序,用于从大样本中构建DNA单双型网络. 它显著加快了常见的算法,使得人口遗传学和进化研究更具可扩展性.

关键词:
在MJN算法中,MJN算法在TCS算法中,计算效率的计算效率基因谱系谱系学 基因谱系学哈普洛型网络的网络.这是一个多线程的多线程.

更多相关视频

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

12.3K
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

409.2K

相关实验视频

Last Updated: Jul 25, 2025

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
Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

12.3K
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

409.2K

科学领域:

  • 遗传学 遗传学是一种遗传学.
  • 生物信息学是一种生物信息学.
  • 进化生物学 进化生物学

背景情况:

  • 在各种生物研究中,哈普洛型网络对于理解DNA序列关系至关重要.
  • 当前的计算工具面临的局限性与不断增加的样本大小,阻碍大规模分析.

研究的目的:

  • 介绍fastHaN,一个新的,高效的,可扩展的软件,用于构建类型网络.
  • 为解决遗传和进化研究中大样本大小所带来的计算挑战.

主要方法:

  • 在fastHaN框架内实施中位连接网络 (MJN) 和Templeton-Crandall-Sing (TCS) 算法.
  • 开发单线程和多线程模式,以提高计算性能和可扩展性.
  • 使用大型数据集与PopART和NETWORK等现有软件进行性能基准测试.

主要成果:

  • fastHaN表现出了实质性的速度改进,MJN比现有软件快3000倍,TCS比现有软件快5800倍.
  • 该程序具有出色的可扩展性,特别是在多线程模式下,用于处理大样本大小.
  • fastHaN提供了一个计算可行的解决方案,用于从广泛的DNA序列数据中构建单双型网络.

结论:

  • fastHaN在哈普罗型网络构建方面取得了重大进展,使大规模的种群遗传学和进化分析成为可能.
  • 该软件的效率和可扩展性使其成为分子生态学,流行病学和进化研究研究人员的宝贵工具.
  • 可访问的源代码和基于Web的版本促进了fastHaN的广泛采用和应用.