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

5.7K
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

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

Prolonged Sample Storage Reshapes the m<sup>6</sup>A Methylation Landscape Through RNA Degradation.

International journal of molecular sciences·2026
Same author

Detecting the Pre-Disease State of Single Sample Through the Change in Local Network Enrichment Level.

Genes·2026
Same author

Single-cell eQTL mapping reveals convergent glial-neuronal risk architecture in Parkinson's disease.

bioRxiv : the preprint server for biology·2026
Same author

Experimental and computational methods for allelic imbalance analysis from single-nucleus RNA-seq data.

Genome biology·2026
Same author

Integrating Long-Read Structural Variant Analysis with single-nucleus RNA-seq to Elucidate Gene Expression Effects in Disease.

bioRxiv : the preprint server for biology·2026
Same author

Genome-wide analysis in over 1.6 million participants uncovers 147 loci associated with obstructive sleep apnoea.

medRxiv : the preprint server for health sciences·2025

相关实验视频

Updated: Jun 14, 2025

Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells
14:26

Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells

Published on: April 4, 2016

25.2K

生物信息学在eccDNA识别和分析方面取得了进展.

Fuyu Li1, Wenlong Ming2, Wenxiang Lu1

  • 1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, PR China.

Oncogene
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

外染色体圆形DNA (eccDNA) 与癌症有关. 生物信息学工具和数据库有助于其识别和分析,为eccDNA研究提供了宝贵的资源.

更多相关视频

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.0K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K

相关实验视频

Last Updated: Jun 14, 2025

Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells
14:26

Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells

Published on: April 4, 2016

25.2K
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.0K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

12.9K

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.
  • 分子生物学分子生物学

背景情况:

  • 染色体外圆形DNA (eccDNA) 是来自染色体的DNA分子.
  • eccDNA与瘤基因放大密切相关,这是癌症发展的关键因素.
  • 高通量测序的进步使生物信息学方法成为eccDNA研究的核心.

研究的目的:

  • 审查和评估用于eccDNA识别和功能分析的生物信息学工具和数据库.
  • 为未来的eccDNA检测方法提供建议.
  • 讨论生物信息学在eccDNA研究中的当前局限性和未来前景.

主要方法:

  • 系统地收集和总结约20个eccDNA相关的生物信息学工具.
  • 使用模拟数据对选定的eccDNA检测方法的评估.
  • 对现有的eccDNA数据库进行功能注释和预测的审查.

主要成果:

  • 一个全面的概述可用于eccDNA识别和注释的生物信息学工具.
  • 在模拟数据集上对不同eccDNA检测策略的比较评估.
  • 确定eccDNA研究的关键资源和方法.

结论:

  • 生物信息学工具和数据库对于推进eccDNA研究至关重要.
  • 需要进一步开发和评估生物信息学方法.
  • 通过计算方法理解eccDNA对癌症研究具有前景.