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 Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

3.3K
3.3K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.0K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.0K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

20.5K
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.
20.5K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.5K
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%...
18.5K

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

Efficient downsampling of genome alignments with Rasusa.

GigaByte (Hong Kong, China)·2026
Same author

Predicting trajectories of illness using RNA velocity of whole blood.

Nature communications·2026
Same author

Novel transposon Tn<i>8026</i> acts as a global driver of transmissible linezolid resistance in <i>Enterococcus</i> via a linear plasmid.

medRxiv : the preprint server for health sciences·2026
Same author

Mechanism of Dinitrogen Reduction in a Borylene Complex by Density Functional Theory.

Inorganic chemistry·2026
Same author

Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance.

Nature communications·2025
Same author

FastGA: fast genome alignment.

Bioinformatics advances·2025

相关实验视频

Updated: Jan 11, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

23.9K

基因组大小估计从长读重叠重叠.

Michael B Hall1, Chenxi Zhou2, Lachlan J M Coin1,3

  • 1Department of Microbiology and Immunology, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, 3000, Australia.

Bioinformatics (Oxford, England)
|November 9, 2025
PubMed
概括
此摘要是机器生成的。

一个新的工具,基于长读的基因组大小估计 (LRGE),使用读重叠精确估计基因组大小. 对于细菌基因组来说,LRGE比现有的方法更有效,更准确.

更多相关视频

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

12.1K
G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

6.2K

相关实验视频

Last Updated: Jan 11, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis
10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

23.9K
Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

12.1K
G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

6.2K

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:

  • 准确的基因组大小估计对于基因组分析至关重要,如组装和覆盖范围计算.
  • 现有的基因组大小估计工具主要针对短读测序数据进行了优化.

研究的目的:

  • 引入LRGE,一种新的无参考工具,用于使用长读测序数据准确估计基因组大小.
  • 对不同基因组数据集的现有方法来评估LRGE的性能.

主要方法:

  • LRGE分析读到读的重叠信息以估计基因组大小.
  • 它根据预期的重叠,阅读长度和最低重叠值计算每读估计值.
  • 最终的基因组大小是由这些强度估计的中位数决定的.

主要成果:

  • 在大型多样化的细菌数据集上验证了LRGE,并将其推广到真核生物数据集.
  • 对于细菌基因组,LRGE与基于k-mer的方法相比,显示出更高的准确性和计算效率.
  • LRGE实现了与基于组装的方法 (如Raven) 相似的基因组大小估计,计算资源使用量显著降低.

结论:

  • 从长时间读取的测序数据来估计基因组大小,LRGE提供了一种强大而有效的方法.
  • 该工具在准确性和计算效率上都优于现有的方法,特别是细菌基因组.
  • LRGE为需要精确基因组大小确定性的基因组分析提供了有价值的替代方案.