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

Viral Mutations

Viral Mutations

A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...

You might also read

Related Articles

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

Sort by

Same author

The effect of physical exercise therapy on autism spectrum disorder:a systematic review and meta-analysis.

Psychiatry research·2024

Same author

Progress of SGLT2 inhibitors in the treatment of common immune-related nephropathies.

International urology and nephrology·2024

Same author

From electricity to vitality: the emerging use of piezoelectric materials in tissue regeneration.

Burns & trauma·2024

Same author

Removal of tetracycline in the water by a kind of S/N co-doped tea residue biochar.

Journal of environmental management·2024

Same author

Discovery of a first-in-class protein degrader for the c-ros oncogene 1 (ROS1).

Bioorganic chemistry·2024

Same author

Aptamer and Thiol Co-Regulated Color-Shifting Fluorophores via Dynamic Through-Bond/Space Conjugation for Constructing Ratiometric RNA Sensor.

Small (Weinheim an der Bergstrasse, Germany)·2024

Same journal

Bruton's tyrosine kinase inhibitor BTKi-2 inhibits mpox virus and vaccinia virus infection.

Virologica Sinica·2026

Same journal

Development of a replicon cell line-based high throughput antiviral assay for screening inhibitors of Mayaro virus.

Virologica Sinica·2026

Same journal

First complete genomic sequencing of recent canine rabies viruses in Sierra Leone suggests cross-border transmission of Africa 2H subclade.

Virologica Sinica·2026

Same journal

Dominant HA motif 131/132-NT shapes the phenotype of avian H9N2 influenza virus by modulating agglutination property, receptor specificity and infectivity in animals.

Virologica Sinica·2026

Same journal

A ferritin nanoparticle-displayed spike protein-based ELISA for serological surveillance and immune evaluation of porcine deltacoronavirus.

Virologica Sinica·2026

Same journal

Degradation of ACSL3 by influenza A virus shifts unfolded protein response from antiviral defense to viral evasion.

Virologica Sinica·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 27, 2025

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Published on: December 22, 2014

Ten computational challenges in human virome studies.

Yifan Wu¹, Yousong Peng¹

¹Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China.

Virologica Sinica

|May 2, 2024

Summary

This summary is machine-generated.

Understanding the human virome is advancing, but computational tools lag behind. This perspective details ten key computational challenges and proposes solutions for human virome research.

Keywords:

Artificial intelligence Computational biology Computational viromics Human virome

More Related Videos

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

Published on: March 11, 2020

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Published on: June 11, 2015

Related Experiment Videos

Last Updated: Jun 27, 2025

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Published on: December 22, 2014

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

Published on: March 11, 2020

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Published on: June 11, 2015

Area of Science:

Virology
Bioinformatics
Computational Biology

Background:

The human virome plays a crucial role in health and disease.
Human virome research is limited by a lack of effective computational tools.
Viral genomes lack universal marker genes, and viral proteins often show low homology to known proteins.

Purpose of the Study:

To systematically outline ten computational challenges in human virome studies.
To discuss the reasons, current progress, and potential solutions for each challenge.
To guide future computational efforts in the field of human virome research.

Main Methods:

Perspective-based analysis of computational challenges.
Review of existing research and proposed solutions.
Identification of key areas for future research and development.

Main Results:

Ten distinct computational challenges in human virome research were identified.
Challenges stem from virome diversity, lack of universal markers, low viral abundance, low protein homology, and dynamic nature.
Potential solutions and research directions are proposed for each challenge.

Conclusions:

Addressing these computational challenges is critical for advancing human virome research.
Interdisciplinary collaboration between computational scientists and virologists is essential.
This perspective provides a roadmap for future computational tool development in viromics.