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

10.1K
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...
10.1K
Sanger Sequencing01:57

Sanger Sequencing

754.7K
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...
754.7K
Next-generation Sequencing03:00

Next-generation Sequencing

91.4K
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....
91.4K
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
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.2K
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...
11.2K
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

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

Design of DNA Storage Coding Scheme With LDPC Codes and Interleaving.

IEEE transactions on nanobioscience·2024
Same author

Iterative Soft Decoding Algorithm for DNA Storage Using Quality Score and Redecoding.

IEEE transactions on nanobioscience·2023
Same author

A Quaternary Code Correcting a Burst of at Most Two Deletion or Insertion Errors in DNA Storage.

Entropy (Basel, Switzerland)·2021
Same author

FCLQC: fast and concurrent lossless quality scores compressor.

BMC bioinformatics·2021
Same author

Cooperative sequence clustering and decoding for DNA storage system with fountain codes.

Bioinformatics (Oxford, England)·2021
Same author

A Low Complexity Near-Optimal Iterative Linear Detector for Massive MIMO in Realistic Radio Channels of 5G Communication Systems.

Entropy (Basel, Switzerland)·2020

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

通过序列分析辅助软信息解读变量长度读取来降低基于DNA的数据存储成本.

Seong-Joon Park1, Sunghwan Kim2, Jaeho Jeong1

  • 1Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

Bioinformatics (Oxford, England)
|September 5, 2023
PubMed
概括

这项研究引入了用于DNA数据存储的新型编码和解码方法,大大降低了阅读成本. 这种新方法提高了DNA存储的效率和用于档案目的的实用性.

更多相关视频

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K
Ultra-long Read Sequencing for Whole Genomic DNA Analysis
10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

22.8K

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
Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K
Ultra-long Read Sequencing for Whole Genomic DNA Analysis
10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

22.8K

科学领域:

  • 生物技术是生物技术.
  • 数据存储数据存储数据存储
  • 生物信息学是一种生物信息学.

背景情况:

  • 基于DNA的数据存储为档案需求提供了高密度,但由于高的写入和阅读成本而受到影响.
  • 现有的DNA存储方案需要进一步降低成本并优化实际应用.

研究的目的:

  • 为DNA数据存储开发具有成本效益的编码和解码程序.
  • 提高基于DNA的数据检索的效率和准确性.

主要方法:

  • 实施了一种新型编码方案,使用单个低密度平价检查 (LDPC) 代码进行错误和失败纠正.
  • 开发了可变长度读取的高级集群和对齐方法,以增强解码.
  • 利用序列分析辅助解码的编辑距离和质量得分来排除异常读取并利用软信息.

主要成果:

  • 在DNA oligos.中成功存储了 548.83 KB 的图像文件.
  • 实现了写作成本的降低7.46%.
  • 与以前的方法相比,显著降低了26.57%和19.41%的阅读成本.

结论:

  • 拟议的全过程编码和解码程序为DNA数据存储提供了更具成本效益的解决方案.
  • 开发的方法通过降低运营费用,提高了用于档案应用的DNA存储的实用性.