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

Sanger Sequencing01:57

Sanger Sequencing

777.0K
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...
777.0K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

13.4K
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...
13.4K
The Nucleosome01:19

The Nucleosome

4.6K
Human DNA is almost two meters long. However, it is compressed inside a tiny nucleus measuring only a few microns in diameter. To make this degree of compaction possible, DNA is organized into several sequential levels so that it can fit into such a tiny space. The most compact form of DNA is a chromosome that can be seen under a microscope in a dividing cell.
In a chromosome, DNA is wound twice around a protein complex called a histone octamer core, which consists of 8 histone proteins. This...
4.6K
The Nucleosome02:33

The Nucleosome

19.5K
DNA in a human cell is almost 2m long and it is packed inside a tiny nucleus that is only a few microns in diameter. The level of compaction of DNA inside the nucleus is astonishing. It is organized into several sequentially higher levels of compaction to fit into such a tiny space. The most compact form of DNA is a chromosome that can be seen under a microscope in a dividing cell.
DNA is wound twice around a protein complex called histone core, that consist of 8 histone proteins. This complex...
19.5K
Next-generation Sequencing03:00

Next-generation Sequencing

100.1K
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....
100.1K
From DNA to Protein03:06

From DNA to Protein

23.7K
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...
23.7K

You might also read

Related Articles

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

Sort by
Same author

Associations between controlling nutritional status and mortality in osteoporosis: evidence from NHANES, 2005-2018.

Calcified tissue international·2026
Same author

Femoral Osteochondritis Dissecans and Tibial Osteochondral Defect in an Adult Revealed by Bone SPECT/CT.

Diagnostics (Basel, Switzerland)·2026
Same author

A novel linear indexing method for strings under all internal nodes in a suffix tree.

Frontiers in bioinformatics·2025
Same author

Deep learning-based Alzheimer's disease detection using magnetic resonance imaging and gene expression data.

PloS one·2025
Same author

A novel lossless encoding algorithm for data compression-genomics data as an exemplar.

Frontiers in bioinformatics·2025
Same author

fMRI-based Alzheimer's disease detection via functional connectivity analysis: a systematic review.

PeerJ. Computer science·2024
Same journal

GMSA: A Graph Matching and Point Cloud Registration-Based Method for Spatial Transcriptomics Data Alignment.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

PPIGAN: Prediction of Protein-Protein Interactions Using Generative Adversarial Networks.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Deep Structure-Enhanced Cell Clustering Model for Single-Cell RNA Sequencing Data.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

Journal of computational biology : a journal of computational molecular cell biology·2026
See all related articles

Related Experiment Video

Updated: Mar 10, 2026

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

4.9K

Toward a Better Compression for DNA Sequences Using Huffman Encoding.

Anas Al-Okaily1, Badar Almarri1, Sultan Al Yami1

  • 1Computer Science and Engineering Department, University of Connecticut , Storrs, Connecticut.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|December 14, 2016
PubMed
Summary
This summary is machine-generated.

New Huffman encoding methods improve DNA data compression. These techniques leverage frequent DNA sequence repeats to enhance compression ratios for large genomes, enabling faster data transmission.

Keywords:
DNA sequences compressionHuffman encodingcompression algorithm

More Related Videos

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

19.4K
Self-Assembly of Gamma-Modified Peptide Nucleic Acids into Complex Nanostructures in Organic Solvent Mixtures
08:15

Self-Assembly of Gamma-Modified Peptide Nucleic Acids into Complex Nanostructures in Organic Solvent Mixtures

Published on: June 26, 2020

4.7K

Related Experiment Videos

Last Updated: Mar 10, 2026

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

4.9K
An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

19.4K
Self-Assembly of Gamma-Modified Peptide Nucleic Acids into Complex Nanostructures in Organic Solvent Mixtures
08:15

Self-Assembly of Gamma-Modified Peptide Nucleic Acids into Complex Nanostructures in Organic Solvent Mixtures

Published on: June 26, 2020

4.7K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing generates vast amounts of DNA data, necessitating efficient compression.
  • Existing compression methods struggle with the scale of genomic data, impacting storage and transmission.

Purpose of the Study:

  • To develop improved Huffman encoding algorithms for DNA sequence compression.
  • To enhance the efficiency of DNA data compression for large-scale genomic datasets.

Main Methods:

  • Implementing Huffman encoding with strategies for frequent DNA repeat identification.
  • Constructing skewed Huffman trees by prioritizing frequent sequence repeats.
  • Developing multiple Huffman tree constructions for encoding DNA sequences.

Main Results:

  • Demonstrated improved compression ratios on five genomes (5-50 Mbp) compared to standard Huffman encoding.
  • The modified Huffman encoding significantly reduced DNA data size.
  • Achieved faster data transmission capabilities due to compression.

Conclusions:

  • The proposed Huffman encoding implementations offer superior DNA data compression.
  • These methods provide a significant improvement over conventional Huffman encoding for genomic data.
  • The developed compression techniques are valuable for managing large-scale genomic datasets.