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

RNA-seq03:21

RNA-seq

11.7K
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...
11.7K
Next-generation Sequencing03:00

Next-generation Sequencing

97.6K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
97.6K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

12.6K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
12.6K
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

7.1K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
7.1K
Sanger Sequencing01:57

Sanger Sequencing

772.9K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
772.9K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.6K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.6K

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

Efficient and Tidy Manipulation of Annotated Matrix Data with plyxp.

bioRxiv : the preprint server for biology·2026
Same author

The GA4GH Categorical Variation Representation Specification: A Unified Computational Framework for Reasoning over Genomic Variant Categories.

bioRxiv : the preprint server for biology·2026
Same author

Searching the Druggable Genome using Large Language Models.

bioRxiv : the preprint server for biology·2026
Same author

The IGVF catalog-from genetic variation to function.

Nucleic acids research·2025
Same author

Identifying Locally Recurrent Versus Second Primary Breast Cancer: Genomic Versus Clinical Criteria from Carolina Breast Cancer Study Phase III.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2025
Same author

JASPAR 2026: expansion of transcription factor binding profiles and integration of deep learning models.

Nucleic acids research·2025

相关实验视频

Updated: Jan 10, 2026

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

9.1K

服参考基因组林:refget序列收集标准

Donald R Campbell1, Timothee Cezard2, Sveinung Gundersen3

  • 1Department of Genome Sciences, School of Medicine, University of Virginia, 22908, Charlottesville VA.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括

新的序列收集 (seqcol) 标准为明确识别和比较参考基因组和其他序列数据提供了一个框架. 这解决了基因组学中的不一致性,改善了数据的重复使用和研究中的可重复性.

更多相关视频

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
09:06

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

10.7K
CIRCLE-Seq for Interrogation of Off-Target Gene Editing
08:23

CIRCLE-Seq for Interrogation of Off-Target Gene Editing

Published on: November 1, 2024

1.3K

相关实验视频

Last Updated: Jan 10, 2026

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

9.1K
High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
09:06

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

10.7K
CIRCLE-Seq for Interrogation of Off-Target Gene Editing
08:23

CIRCLE-Seq for Interrogation of Off-Target Gene Editing

Published on: November 1, 2024

1.3K

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.
  • 数据标准 数据标准

背景情况:

  • 参考基因组对于基因组分析至关重要,但存在模糊性和不兼容性.
  • 不一致的命名,未经记录的差异和缺乏正式的比较机制阻碍了基因组研究.
  • 现有的标准无法充分解决对序列集合的明确表示和比较的需求.

研究的目的:

  • 为了引入GA4GH refget Sequence Collections (seqcol) 标准,以便对序列集合进行明确的表示,检索和比较.
  • 为了能够精确地识别和评估参考基因组和转录组的兼容性.
  • 为参考基因组兼容性危机提供可扩展和可重复的解决方案.

主要方法:

  • 为序列收集开发了一个结构化数据方案.
  • 实现了基于内容的全球唯一标识符的正规编码算法.
  • 为序列收集创建了一个检索API和一个比较协议.
  • 将seqcol标准应用于60个人类和36个小鼠参考基因组,使用基于消化结果的比较.

主要成果:

  • 该seqcol标准允许在分散的系统中精确识别序列收集.
  • 分析显示,主要基因组提供者之间存在大量不兼容性和重复引用.
  • 在不同参考基因组中确定了一致的序列和坐标系统子集.
  • 证明了超出确切身份的兼容性评估,包括订单放松匹配.

结论:

  • "refget seqcol"标准为参考基因组不兼容性提供了一个强大的解决方案,提高了透明度和可重复性.
  • 通过seqcol标准实现了跨基因组工具和数据集的改进互操作性.
  • 提供的Python包,web API和比较界面支持seqcol标准的广泛采用和应用.