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

7.1K
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...
7.1K
Complementary DNA01:44

Complementary DNA

31.8K
Overview
31.8K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.8K
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%...
18.8K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

17.1K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
17.1K
Complementation Tests00:49

Complementation Tests

6.3K
A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
6.3K
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

8.1K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
8.1K

You might also read

Related Articles

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

Sort by
Same author

Harmonization of IgG antibody values against the SARS-CoV-2 Spike protein.

Scientific reports·2026
Same author

Facial Floor Measurements at Second Trimester Scan and Relations to Biparietal Diameter and Head Circumference.

Journal of clinical ultrasound : JCU·2026
Same author

Aggregation in Ill-Conditioned Regression Models: A Comparison with Entropy-Based Methods.

Entropy (Basel, Switzerland)·2025
Same author

Height and Depth of the Three Levels of the Face in Second-Trimester Euploid Fetuses.

Cureus·2025
Same author

Efficacy and safety of endovascular therapy for posterior cerebral artery occlusion stroke - Cohort study.

Clinical neurology and neurosurgery·2025
Same author

Practical implementation of AI in a non-academic, non-commercial Pathology laboratory: Real world experience and lessons learned.

Histopathology·2025
Same journal

Predicting piRNA-Disease Associations Based on Dual-View Learning and Multi-head Self-Attention Mechanism Fusion.

Interdisciplinary sciences, computational life sciences·2026
Same journal

DTANet+: Dual Interaction and Kernel-Diverse Network for Drug-Target Affinity Prediction.

Interdisciplinary sciences, computational life sciences·2026
Same journal

STNMAE: Identifying Spatial Domains from Spatial Transcriptomics Data with Neighbor-Aware Multi-view Masked Graph Autoencoder.

Interdisciplinary sciences, computational life sciences·2026
Same journal

Diagnosis and Prediction of Alzheimer's Disease via a High-Level Convolutional Block Attention Module-Residual Network.

Interdisciplinary sciences, computational life sciences·2026
Same journal

Deep3D-DTA: A Tri-Modal Deep Learning Framework for Binding Affinity Prediction Leveraging 3D Structural Representations of Drugs and Targets.

Interdisciplinary sciences, computational life sciences·2026
Same journal

ST-LDAW: A Topic-Model and Damped Weighted Least-Squares Method for Integrative Deconvolution of Single-Cell and Spatial Transcriptomics.

Interdisciplinary sciences, computational life sciences·2026
See all related articles

Related Experiment Video

Updated: Feb 17, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

17.7K

Comparing Reverse Complementary Genomic Words Based on Their Distance Distributions and Frequencies.

Ana Helena Tavares1, Jakob Raymaekers2, Peter J Rousseeuw2

  • 1Department of Mathematics and CIDMA and iBiMED, University of Aveiro, Aveiro, Portugal. ahtavares@ua.pt.

Interdisciplinary Sciences, Computational Life Sciences
|December 8, 2017
PubMed
Summary
This summary is machine-generated.

This study reveals significant asymmetries in human DNA word pairs beyond Chargaff's rules. Analyzing distance distributions and frequencies of reverse complementary DNA words highlights novel genomic patterns.

Keywords:
Chargaff’s rulesDistance distributionHuman genomePeak dissimilaritySymmetric word pairs

More Related Videos

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans
07:19

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans

Published on: September 13, 2022

2.8K
Collection and Extraction of Saliva DNA for Next Generation Sequencing
06:58

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

40.1K

Related Experiment Videos

Last Updated: Feb 17, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

17.7K
Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans
07:19

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans

Published on: September 13, 2022

2.8K
Collection and Extraction of Saliva DNA for Next Generation Sequencing
06:58

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

40.1K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic sequences exhibit patterns beyond simple base pairing rules.
  • Understanding DNA word pair properties is crucial for deciphering genome organization.
  • Chargaff's rules describe base composition but not sequence distribution patterns.

Purpose of the Study:

  • To investigate reverse complementary genomic word pairs in human DNA.
  • To compare distance distributions and frequencies of words and their reverse complements.
  • To identify genomic asymmetries extending beyond established rules.

Main Methods:

  • Analysis of complete and repeat-masked human genome sequences.
  • Comparison of distance distributions using peak dissimilarity measures.
  • Exploration of the association between distribution dissimilarity and frequency discrepancy.

Main Results:

  • Identified reverse complementary word pairs with highly dissimilar distance distributions.
  • Found word pairs with surprisingly similar distributions despite irregular patterns.
  • Observed a correlation between distribution dissimilarity and frequency differences.

Conclusions:

  • Human DNA exhibits complex asymmetries in word pair distributions.
  • These findings suggest genomic features beyond Chargaff's rules.
  • Further investigation of symmetric pairs may reveal novel genomic insights.