Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

DNA as a Genetic Template02:05

DNA as a Genetic Template

22.7K
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...
22.7K
Phylogenetic Trees03:21

Phylogenetic Trees

46.4K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
46.4K
Chromosome Structure02:40

Chromosome Structure

5.0K
5.0K
The DNA Helix01:16

The DNA Helix

143.1K
Overview
143.1K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.5K
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...
11.5K
From DNA to Protein03:06

From DNA to Protein

19.1K
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...
19.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Study of electroreflectance spectrum and Franz-Keldysh effect at metal-GaAs interfaces].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same author

[Study on electro-degradation of new conjugated polymer PFO-BT15 light emitting diodes].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same author

Comparison of the curative effects of video assisted thoracoscopic anterior correction and small incision, thoracotomic anterior correction for idiopathic thoracic scoliosis.

Chinese medical journal·2008
Same author

Distribution and sources of mercury in soils from former industrialized urban areas of Beijing, China.

Environmental monitoring and assessment·2008
Same author

[Main flavonoids from Sophora flavescenes].

Yao xue xue bao = Acta pharmaceutica Sinica·2008
Same author

External validation and prediction employing the predictive squared correlation coefficient test set activity mean vs training set activity mean.

Journal of chemical information and modeling·2008
Same journal

Exploring Complex Genetic Mechanisms in Brain Imaging Genetics via a New Multi-task Learning Method.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Multi-Modal Framework for Phage-Host Interaction Prediction Using Multi-View Contrastive Learning.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Decoding Gene-Disease Associations with Computational Methods: A Survey.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Prediction of GO Terms Based on Partitioning PPI Networks into Highly Connected Components.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Modeling and Tracking of Heterogeneous Cell Populations via Open Multi-Agent Systems.

IEEE transactions on computational biology and bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

Self-assembly of Complex Two-dimensional Shapes from Single-stranded DNA Tiles
10:23

Self-assembly of Complex Two-dimensional Shapes from Single-stranded DNA Tiles

Published on: May 8, 2015

11.8K

Stable DNA Storage Encoding Scheme Based on Repeating Substring Tree.

Jieqiong Wu, Penghao Wang, Yanfen Zheng

    IEEE Transactions on Computational Biology and Bioinformatics
    |August 14, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new DNA encoding method, Repeating Substring Tree Encoding (RSTE), to improve data storage. RSTE enhances encoding rates and DNA sequence stability for reliable data storage.

    More Related Videos

    Design and Synthesis of a Reconfigurable DNA Accordion Rack
    07:44

    Design and Synthesis of a Reconfigurable DNA Accordion Rack

    Published on: August 15, 2018

    7.2K
    Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules
    09:32

    Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules

    Published on: April 12, 2019

    6.6K

    Related Experiment Videos

    Last Updated: Sep 11, 2025

    Self-assembly of Complex Two-dimensional Shapes from Single-stranded DNA Tiles
    10:23

    Self-assembly of Complex Two-dimensional Shapes from Single-stranded DNA Tiles

    Published on: May 8, 2015

    11.8K
    Design and Synthesis of a Reconfigurable DNA Accordion Rack
    07:44

    Design and Synthesis of a Reconfigurable DNA Accordion Rack

    Published on: August 15, 2018

    7.2K
    Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules
    09:32

    Stable DNA Motifs, 1D and 2D Nanostructures Constructed from Small Circular DNA Molecules

    Published on: April 12, 2019

    6.6K

    Area of Science:

    • Bioinformatics
    • Data Storage
    • Molecular Engineering

    Background:

    • The data explosion necessitates novel storage solutions.
    • DNA storage offers high density but faces challenges in encoding efficiency, constraint satisfaction, and sequence stability.
    • Existing DNA encoding methods often compromise on encoding rate or stability.

    Purpose of the Study:

    • To propose a novel DNA encoding method, Repeating Substring Tree Encoding (RSTE), to enhance encoding rate and sequence stability.
    • To address limitations of current DNA encoding techniques.
    • To improve the feasibility of DNA data storage.

    Main Methods:

    • The Repeating Substring Tree Encoding (RSTE) method utilizes the Longest Substring Backtracking Method (LSBM) to identify repeated substrings in binary data.
    • Huffman encoding is employed to convert these substrings into compact DNA motifs.
    • The method is designed to meet biological constraints like run-length limitation, GC content balance, and end constraints.

    Main Results:

    • RSTE achieves a 13% enhancement in encoding rate compared to the ideal 2 bits per nucleotide.
    • DNA sequences generated by RSTE satisfy critical biological constraints.
    • Experimental analysis of minimum free energy and melting temperature demonstrates significantly improved sequence stability.

    Conclusions:

    • RSTE offers a superior approach to DNA data encoding, balancing high coding rates with biological feasibility.
    • The method enhances sequence stability, a crucial factor for reliable DNA data storage.
    • RSTE represents a significant advancement in making DNA storage a practical solution for massive data.