Jove
Visualize
联系我们

相关概念视频

What is Genetic Engineering?00:49

What is Genetic Engineering?

74.3K
Overview
74.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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...
5.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
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.
18.9K

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

Large-scale comparative genomics and structure-function analysis enables characterization of known and novel genetic determinants of antimicrobial resistance in bacterial pathogens.

Frontiers in microbiology·2026
Same author

A Methodology for the Assessment and Prioritization of Genetic Biocontainment Technologies for Engineered Microbes.

Applied biosafety : journal of the American Biological Safety Association·2024
Same author

An in vitro platform for study of the human gut microbiome under an oxygen gradient.

Biomedical microdevices·2023
Same author

Geographic source estimation using airborne plant environmental DNA in dust.

Scientific reports·2021
Same author

Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security·2019
Same author

Standardizing Automated DNA Assembly: Best Practices, Metrics, and Protocols Using Robots.

SLAS technology·2019
Same journal

MediLabSecure: A One Health Network Facing the COVID-19 Pandemic DVM.

Health security·2026
Same journal

A Metagenomic Biosurveillance Network for Emerging Infectious Diseases: A Simulation-Based Model.

Health security·2026
Same journal

Reimagining Global One Health Governance: How the International Mental Health Organization and the International Health Tribunal Bridge Psychosocial and Environmental Frontlines.

Health security·2026
Same journal

Mitigating Cross-Border Biological Threats: An Animal Health and Law Enforcement Perspective on One Health.

Health security·2026
Same journal

Showing that We Care<sup>®</sup>: One Health in Practice in the Swine Industry.

Health security·2026
Same journal

Scientific Advocacy and Dissent in China and Russia: Role of Scientists in Shaping Communication and Governance Around Human Germline Genome Editing.

Health security·2026
查看所有相关文章
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

相关实验视频

Updated: Jul 19, 2025

Mouse Genome Engineering Using Designer Nucleases
12:04

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

28.9K

一种用于基因组工程的机器学习方法 设计工具 归因

Rebecca Spirgel1, James Comolli2, Nicholas J Guido3

  • 1Rebecca Spirgel, MS, is Associate Technical Staff, Group 23, MIT Lincoln Laboratory, Lexington, MA.

Health security
|August 18, 2023
PubMed
概括
此摘要是机器生成的。

识别用于设计转基因生物的计算工具可以帮助归因其来源. 这项研究开发了一种机器学习模型,可以准确预测设计工具,有助于对工程生物制剂的法医归因.

关键词:
在Codon优化优化中.它们是DNA DNA DNA DNA.基因工程归因的归因机器学习是机器学习.

更多相关视频

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing
10:44

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

Published on: May 5, 2023

1.5K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.4K

相关实验视频

Last Updated: Jul 19, 2025

Mouse Genome Engineering Using Designer Nucleases
12:04

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

28.9K
In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing
10:44

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

Published on: May 5, 2023

1.5K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.4K

科学领域:

  • 合成生物学 合成生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 合成生物学的进步增加了危险的转基因生物 (GMO) 释放的风险.
  • 转基因释放的归因对于安全至关重要,但直接证据往往缺乏.
  • 之前的方法专注于等离子体DNA签名;这项研究探讨了工程基因中的工具签名.

研究的目的:

  • 通过分析所使用的in silico设计工具,开发一种方法来归因工程生物的来源.
  • 为了在工程DNA序列中识别不同编码子优化工具留下的独特签名.
  • 创建一个机器学习分类器,能够预测所使用的特定设计工具.

主要方法:

  • 数以万计的基因使用四种不同的编码子优化算法进行了计算优化.
  • 从工程基因中提取了表明特定优化工具的序列特征.
  • 一个随机的森林机器学习分类器被训练并根据这些特征进行评估.

主要成果:

  • 开发的随机森林分类器在预测使用的编码子优化工具时取得了超过97%的准确性.
  • 该方法成功地在编码区域内识别了区分不同设计软件的签名.
  • 这证明了基于其遗传密码的设计历史来归因工程生物的可行性.

结论:

  • 工程DNA中的计算工具签名为转基因生物的归属提供了可行的基础.
  • 这种方法补充了现有的归因方法,并增强了对生物制剂的法医能力.
  • 有效的归因技术可以阻止恶意创建危险生物并帮助调查.