Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

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...

You might also read

Related Articles

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

Sort by

Same author

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems.

Chaos (Woodbury, N.Y.)·2026

Same author

Feasibility of single-beat detection of ventricular late potentials on standard ECG leads via interpretable gradient boosting.

Computer methods and programs in biomedicine·2026

Same author

Cascading 58mer Alpha Satellite superHOR in Complete Orangutan Y Chromosome.

International journal of molecular sciences·2025

Same author

Precise Identification of Higher-Order Repeats (HORs) in T2T-CHM13 Assembly of Human Chromosome 21-Novel 52mer HOR and Failures of Hg38 Assembly.

Genes·2025

Same author

Neuroblastoma Breakpoint Family 3mer Higher Order Repeats/Olduvai Triplet Pattern in the Complete Genome of Human and Nonhuman Primates and Relation to Cognitive Capacity.

Genes·2025

Same author

Maximal Genetic Code Symmetry Is a Physicochemical Purine-Pyrimidine Symmetry Language for Transcription and Translation in the Flow of Genetic Information from DNA to Proteins.

International journal of molecular sciences·2024

Same journal

Correction to: Pathogenicity patterns in cytochrome P450 family.

Bioinformatics advances·2026

Same journal

Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections.

Bioinformatics advances·2026

Same journal

Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer.

Bioinformatics advances·2026

Same journal

maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.

Bioinformatics advances·2026

Same journal

RAM-MSA: an anytime memory-bounded method for exact multiple sequence alignment using path finding.

Bioinformatics advances·2026

Same journal

Interpretable machine learning for low-sample multi-omics: a case study of ferret vaccine response.

Bioinformatics advances·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 5, 2025

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

Efficient genome monomer higher-order structure annotation and identification using the GRMhor algorithm.

Matko Glunčić¹, Domjan Barić¹, Vladimir Paar^1,2

¹Faculty of Science, University of Zagreb, Zagreb 10000, Croatia.

Bioinformatics Advances

|December 11, 2024

Summary

This summary is machine-generated.

The GRMhor algorithm identified significant differences in human centromeric higher-order repeat (HOR) structures, revealing greater genomic divergence than expected. This tool is vital for analyzing repetitive DNA sequences and understanding genome evolution.

More Related Videos

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Related Experiment Videos

Last Updated: Jun 5, 2025

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

Genomics
Molecular Biology
Evolutionary Biology

Background:

Higher-order repeats (HORs) are crucial for chromosome integrity and gene regulation.
Identifying HORs is essential for understanding genome evolution, chromosome segregation, and disease.

Purpose of the Study:

To apply the GRMhor algorithm for automated identification of HOR structures.
To analyze centromeric regions in human and higher primate genomes.

Main Methods:

Application of the Global Repeat Map hor (GRMhor) algorithm.
Analysis of the centromeric region of chromosome 20 in three human genomes.
Comparative analysis of centromeric regions in three higher primate genomes.

Main Results:

Identified six distinct HOR arrays in human centromeres with unexpected variations in copy number and structure.
Discovered significantly different HOR sequences in higher primate genomes, suggesting greater genomic divergence.
Demonstrated the GRMhor algorithm's effectiveness in analyzing individual genome specificities and repetitive elements.

Conclusions:

The GRMhor algorithm is a powerful tool for studying complex repetitive genomic regions, particularly centromeres.
Human centromeric HORs exhibit greater diversity than anticipated, impacting our understanding of human genetics.
Genomic divergence between humans and higher primates is more substantial than previously recognized, particularly in repetitive sequences.