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

7.1K
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...
7.1K
Next-generation Sequencing03:00

Next-generation Sequencing

99.4K
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....
99.4K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.3K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
8.3K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.7K
3.7K
Genomics02:02

Genomics

41.1K
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...
41.1K
Sanger Sequencing01:57

Sanger Sequencing

775.8K
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...
775.8K

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 Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026
Same author

Novel microfilariae detected in Galápagos passerines.

International journal for parasitology. Parasites and wildlife·2025
Same author

The Invasion History of New Zealand Starlings Revealed by Whole Genome Sequencing and Historical Records.

Molecular ecology·2025
Same author

Sex-dependent effects of infection on guppy reproductive fitness and offspring parasite resistance.

The Journal of animal ecology·2025
Same author

Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology.

BMC biology·2025
Same author

Avian circoviruses and hepadnaviruses identified in tissue samples of various waterfowl.

Virology·2025

相关实验视频

Updated: Feb 25, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

通过时间序列序列数据预测基因组变化.

Danny Jackson, Henrey A Deese, Allyson Placko

    The American naturalist
    |February 23, 2026
    PubMed
    概括
    此摘要是机器生成的。

    基因组时间序列研究揭示了可预测的平行进化,以应对人类驱动的变化,如气候变化和化. 这些发现有助于预测物种适应人类造成的压力.

    关键词:
    人类产生的人类性.进化和重新测序实验的实验主体-寄生虫相互作用平行进化的平行演化.人口遗传学 人口遗传学审查 审查 审查 审查 审查 审查

    更多相关视频

    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA
    12:36

    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

    Published on: May 9, 2011

    10.6K
    Following the Dynamics of Structural Variants in Experimentally Evolved Populations
    04:52

    Following the Dynamics of Structural Variants in Experimentally Evolved Populations

    Published on: February 3, 2023

    1.4K

    相关实验视频

    Last Updated: Feb 25, 2026

    A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
    12:39

    A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

    Published on: December 10, 2012

    11.7K
    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA
    12:36

    Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

    Published on: May 9, 2011

    10.6K
    Following the Dynamics of Structural Variants in Experimentally Evolved Populations
    04:52

    Following the Dynamics of Structural Variants in Experimentally Evolved Populations

    Published on: February 3, 2023

    1.4K

    科学领域:

    • 进化生物学是进化的生物学.
    • 基因组学就是基因组学.
    • 人口遗传学 人口遗传学

    背景情况:

    • 人类活动通过直接和间接的机制显著影响物种进化.
    • 预测进化轨迹对于理解物种适应环境变化的过程至关重要.
    • 时间序列基因组研究提供了对随着时间的推移进化过程的直接见解.

    研究的目的:

    • 审查时间序列基因组研究,评估并行进化的可预测性.
    • 检查人类驱动因素和宿主-寄生虫相互作用如何塑造进化适应.
    • 分析回顾性基因组时间序列数据中的模式,以了解进化变化的驱动因素.

    主要方法:

    • 时间序列基因组研究的审查.
    • 选择驱动平行适应的分析.
    • 检查由人类驱动因素影响的进化过程.
    • 研究宿主-寄生虫共同进化的动态.

    主要成果:

    • 时间序列基因组数据直接量化了种群的进化变化.
    • 选择是平行适应的关键驱动因素,特别是在应对人类造成的压力时.
    • 变化的明显驱动因素影响人口结构,基因流动和遗传多样性.
    • 宿主-寄生虫相互作用显示了同进化适应的显著模式.

    结论:

    • 进化适应,特别是平行进化,在一定程度上是可预测的,由时间序列基因组数据告知.
    • 了解过去对人类影响的进化反应对于未来的保护和管理至关重要.
    • 人口基因组学的进步将加强对时间序列数据的分析,用于进化预测.