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

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
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

22
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
22
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
RNA-seq03:21

RNA-seq

10.0K
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...
10.0K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

17.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
17.7K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

3.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
3.9K

You might also read

Related Articles

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

Sort by
Same author

Genetically engineered approaches to the treatment of cystic fibrosis.

Biophysical reviews·2026
Same author

Challenges in bioinformatics education courses organization.

Biophysical reviews·2026
Same author

The COVID-19 pandemic and its consequences on men's reproductive health.

Biophysical reviews·2026
Same author

Genes Encoding Heat Shock Proteins Are Associated with Risk and Clinical Course of Severe COVID-19: A Pilot Study.

International journal of molecular sciences·2025
Same author

The Potential of Universal Primers for Barcoding of Subtropical Crops: Actinidia, Feijoa, Citrus, and Tea.

International journal of molecular sciences·2025
Same author

New Sights into Bioinformatics of Gene Regulations and Structure.

International journal of molecular sciences·2025

Related Experiment Video

Updated: Jul 11, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.5K

Bioinformatics tools for the sequence complexity estimates.

Yuriy L Orlov1,2,3, Nina G Orlova4

  • 1The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Russian Ministry of Health (Sechenov University), Moscow, 119991 Russia.

Biophysical Reviews
|November 17, 2023
PubMed
Summary
This summary is machine-generated.

This review explores text complexity estimation methods and bioinformatics tools for analyzing DNA and protein sequences. These methods are crucial for understanding genome function, gene regulation, and evolutionary patterns.

Keywords:
Alignment-freeBioinformaticsEntropyGenetic codesGenome comparisonGenomic rearrangementLempel–Ziv compressionLow complexity regionsOnline toolsSequence informationSequencing artefactsText complexity

More Related Videos

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

9.6K
Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

7.2K

Related Experiment Videos

Last Updated: Jul 11, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

2.5K
A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

9.6K
Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

7.2K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence complexity analysis is vital for biophysical models of chromosome function and gene transcription regulation.
  • Understanding low complexity regions in DNA and proteins is key to genome-scale analysis and evolutionary studies.

Purpose of the Study:

  • To review current bioinformatics tools and methods for estimating sequence complexity.
  • To discuss applications in genome analysis, mutation hotspot identification, and protein sequence analysis.
  • To highlight novel machine learning applications and large-scale genome complexity comparisons.

Main Methods:

  • Utilizing information and entropy measures for text complexity estimation.
  • Employing compression approaches, primarily modified Lempel-Ziv compression.
  • Applying combinatorial and linguistic measures for sequence complexity analysis.

Main Results:

  • Complexity profiling aids in genome sequence segmentation, repeat identification, and analysis of next-generation sequencing reads.
  • Methods are applicable to mutation hotspot analysis, quality control for short reads, and alignment-free genome comparisons.
  • Sequence complexity analysis extends to proteins, revealing conserved regions with important biological and structural functions.

Conclusions:

  • Sequence complexity estimation tools are widely available online for large-scale genome analysis.
  • Machine learning increasingly integrates sequence compression and complexity algorithms for genome classification.
  • Complexity analysis offers insights into gene regulation, protein structure, and viral genome evolution, including coronaviruses.