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

6.1K
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...
6.1K
Phylogenetic Trees03:21

Phylogenetic Trees

46.0K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
46.0K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.3K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.3K
Phylogeny01:23

Phylogeny

45.5K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
45.5K
Quality Control01:05

Quality Control

245
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
245
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

64
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
64

You might also read

Related Articles

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

Sort by
Same author

The Phylodynamic Threshold of Measurably Evolving Populations.

Molecular biology and evolution·2026
Same author

ChloroScan: Recovering Plastid Genome Bins From Metagenomic Data.

Molecular ecology resources·2026
Same author

Extensive Endemic Transmission of Multidrug-Resistant <i>Mycobacterium tuberculosis</i> in Bhutan: A Retrospective Genomic-Epidemiological Study.

Open forum infectious diseases·2026
Same author

Amplifying image quality gain in x-ray phase contrast imaging of mastectomy samples with deep learning denoising.

Physics in medicine and biology·2026
Same author

What's the point? The functional role of claws in pad-bearing taxa (Gekkota: Diplodactylidae).

Proceedings. Biological sciences·2025
Same author

Terrier: a deep learning repeat classifier.

Briefings in bioinformatics·2025
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Aug 26, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.0K

Phytest: quality control for phylogenetic analyses.

Wytamma Wirth1, Simon Mutch2, Robert Turnbull2

  • 1Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne 3010, Australia.

Bioinformatics (Oxford, England)
|October 7, 2022
PubMed
Summary
This summary is machine-generated.

Phytest is a new tool that automates quality control for phylogenetic analyses. It ensures data integrity in real-time pipelines, crucial for genetic sequencing and evolutionary studies.

More Related Videos

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.4K
Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.1K

Related Experiment Videos

Last Updated: Aug 26, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.0K
A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.4K
Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.1K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Automated quality control is essential for modern phylogenetic analyses, especially with increasing genetic sequencing data.
  • Real-time phylogenetic analysis pipelines require robust automated testing to detect data issues promptly.

Purpose of the Study:

  • To introduce Phytest (version 1.1), a novel tool designed for automating quality control checks in phylogenetic analyses.
  • To ensure the reliability and accuracy of sequence, tree, and metadata used in phylogenetic studies.

Main Methods:

  • Phytest integrates seamlessly into existing phylogenetic analysis workflows.
  • The tool automates the validation of sequences, phylogenetic trees, and associated metadata.

Main Results:

  • Phytest provides automated quality control for phylogenetic analyses.
  • The utility of Phytest has been demonstrated through real-world case studies.

Conclusions:

  • Phytest enhances the reliability of automated phylogenetic analyses.
  • The tool is vital for maintaining data quality in high-throughput sequencing and real-time evolutionary studies.