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

DNA as a Genetic Template02:05

DNA as a Genetic Template

22.0K
Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
22.0K
DNA Packaging00:58

DNA Packaging

102.7K
Overview
102.7K
From DNA to Protein03:06

From DNA to Protein

18.5K
The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
18.5K
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

47.0K
Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
47.0K
DNA Isolation01:24

DNA Isolation

39.3K
DNA isolation protocols can be fast and straightforward or complex and time-consuming depending on the type and quality of DNA required for further processing. For example, plasmid DNA extraction is a bit more complicated than genomic DNA extraction because of the need for an appropriate lysis method to separate plasmid DNA from gDNA during isolation. However, for specific applications, such as long-range DNA sequencing that require a good yield of high- quality DNA samples, we need to follow...
39.3K
DNA Base Pairing02:27

DNA Base Pairing

27.5K
Erwin Chargaff’s rules on DNA equivalence paved the way for the discovery of base pairing in DNA. Chargaff’s rules state that in a double-stranded DNA molecule,
27.5K

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

Challenges in translating AI-driven ASD/ADHD diagnosis: A methodological systematic review.

International journal of medical informatics·2026
Same author

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation.

JMIR AI·2025
Same author

CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation.

Interdisciplinary sciences, computational life sciences·2025
Same author

SH-SDS: a new static-dynamic strategy for substation host security detection.

PeerJ. Computer science·2024
Same author

An Effective DNA-Based File Storage System for Practical Archiving and Retrieval of Medical MRI Data.

Small methods·2024
Same author

Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study.

JMIR research protocols·2024

相关实验视频

Updated: Jul 17, 2025

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

12.1K

BO-DNA:生物优化的编码模型,用于高可靠的DNA数据存储.

Abdur Rasool1, Jingwei Hong2, Qingshan Jiang3

  • 1Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.

Computers in biology and medicine
|September 4, 2023
PubMed
概括

本研究引入了生物优化的编码模型,用于DNA数据存储 (BO-DNA),以提高可靠性. 在数据转换过程中,BO-DNA最大限度地减少了错误,提高了大规模数据集的存储密度和准确性.

关键词:
生物限制的代码.生物计算是一种生物计算.DNA数据存储 DNA数据存储优化了编码的优化.可靠的储存储存器可靠的储存储存器

更多相关视频

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

4.2K
Functional Surface-immobilization of Genes Using Multistep Strand Displacement Lithography
11:05

Functional Surface-immobilization of Genes Using Multistep Strand Displacement Lithography

Published on: October 25, 2018

7.5K

相关实验视频

Last Updated: Jul 17, 2025

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

12.1K
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

4.2K
Functional Surface-immobilization of Genes Using Multistep Strand Displacement Lithography
11:05

Functional Surface-immobilization of Genes Using Multistep Strand Displacement Lithography

Published on: October 25, 2018

7.5K

科学领域:

  • 生物技术是生物技术.
  • 生物信息学是一种生物信息学.
  • 合成生物学 合成生物学

背景情况:

  • DNA数据存储提供高密度,可靠的数字信息存储.
  • 在DNA存储中,非特定的杂交错误会降低数据的可靠性.
  • 现有的方法很难在没有损失的情况下存储大量数据.

研究的目的:

  • 为DNA数据存储 (BO-DNA) 提出一种新的生物优化的编码模型.
  • 为了克服不特定的杂交错误所带来的可靠性挑战.
  • 在基于DNA的系统中提高数据完整性和存储效率.

主要方法:

  • 开发了一种基于规则的映射方法,以防止二进制到核酸转码期间的数据丢失.
  • 应用了一种基于地图的帐混乱优化算法,以尽量减少非特定的杂交错误.
  • 使用四个生物约束验证了DNA序列的稳定性.

主要成果:

  • 在编码医疗图像的下限实现了12%-59%的改善.
  • 生成最佳约束的DNA序列,平均密度为每核酸1.77位 (bit/nt).
  • 成功编码和解码各种医疗图像,证明了高可靠性.

结论:

  • 该BO-DNA模型显著提高了DNA数据存储的可靠性.
  • 提出的方法有效地减少错误,并提高数据存储密度.
  • 对于构建强大而高效的DNA数据存储解决方案,BO-DNA具有显著的优势.