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

Genomics02:02

Genomics

36.2K
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...
36.2K
RNA-seq03:21

RNA-seq

9.9K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.9K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
5.7K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

2.4K
2.4K

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

The cell cycle variant in multiciliated cells incorporates 2 centriole biogenesis cycles.

bioRxiv : the preprint server for biology·2026
Same author

Large extrachromosomal replicons are widespread across bacterial lineages and show coordinated replication termination and spatial coupling with the chromosome.

Nature communications·2026
Same author

Phages with a broad host range are common across ecosystems.

Nature microbiology·2025
Same author

High-resolution map of the Plasmodium falciparum genome reveals MORC/ApiAP2-mediated links between distant, functionally related genes.

Nature microbiology·2025
Same author

HU promotes higher order chromosome organization and influences DNA replication rates in Streptococcus pneumoniae.

Nucleic acids research·2025
Same author

Parasitic plasmids are anchored to inactive regions of eukaryotic chromosomes through a nucleosome signal.

The EMBO journal·2025

相关实验视频

Updated: Jun 18, 2025

ATAC-Seq Optimization for Cancer Epigenetics Research
07:13

ATAC-Seq Optimization for Cancer Epigenetics Research

Published on: June 30, 2022

4.2K

在R with tidyCoverage中提取和聚合表观遗传学覆盖数据.

Jacques Serizay1, Romain Koszul1

  • 1Institut Pasteur, CNRS UMR 3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, Paris 75015, France.

Bioinformatics (Oxford, England)
|July 29, 2024
PubMed
概括
此摘要是机器生成的。

整洁Coverage R包提供了一个框架,用于使用整洁数据原则分析基因组覆盖数据. 它通过改善全基因组分析的数据可访问性和可重复性来增强表观基因组研究.

更多相关视频

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

37.1K
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

2.1K

相关实验视频

Last Updated: Jun 18, 2025

ATAC-Seq Optimization for Cancer Epigenetics Research
07:13

ATAC-Seq Optimization for Cancer Epigenetics Research

Published on: June 30, 2022

4.2K
Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

37.1K
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

2.1K

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 基因组覆盖数据分析对于表观基因组研究至关重要.
  • 现有的工具可能缺乏用于探索大规模基因组数据集的直观框架.
  • 整齐的数据原则为数据操纵提供了一个结构化的方法.

研究的目的:

  • 引入 tidyCoverage R 包,用于对基因组轨道数据进行直观的调查.
  • 为高效提取,操纵和可视化全基因组覆盖数据提供框架.
  • 促进将基因组数据整合到表观基因组分析工作流程中.

主要方法:

  • 基于整齐的数据操作开发了 tidyCoverage R 包.
  • 覆盖实验的实施和综合覆盖类扩展了总结的实验.
  • 促进数据提取和可视化在个别和聚合的基因组位置.

主要成果:

  • tidyCoverage允许对基因组轨道集合进行直观的探索.
  • 该包允许在数千个基因组位置快速可视化轨道覆盖范围.
  • 它与生物导体生态系统无集成,用于先进的表观基因组分析.

结论:

  • tidyCoverage为推进表观遗传学研究提供了一个有价值的工具.
  • 该包促进基因组数据分析的一致性,可重复性和可访问性.
  • 它使研究人员能够有效地分析和可视化全基因组覆盖数据.