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

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

7.3K
This protocol describes large-scale reconstructions of selective neuronal populations, labeled following retrograde infection with a modified rabies virus expressing fluorescent markers, and independent, unbiased cluster analyses that enable comprehensive characterization of morphological metrics among distinct neuronal...
7.3K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

4.8K
Network analysis was applied to evaluate the association of various ecological microbial communities, such as soil, water and rhizosphere. Presented here is a protocol on how to use the WGCNA algorithm to analyze different co-occurrence networks that may occur in the microbial communities due to different ecological...
4.8K
A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible10:42

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

6.9K
Here, we propose a practical, feasible and reproducible evaluation guideline for computer-assisted reconstruction of the mandible in order to create uniformity between studies regarding postoperative accuracy evaluation. This protocol continues and specifies an earlier publication of this evaluation...
6.9K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

10.5K
This video presents a method of examining age-related changes in functional connectivity of cognitive control networks engaged by targeted tasks/processes. The technique is based on multi-variate analysis of fMRI...
10.5K
In Vitro Method to Study Sex-Based Differences in Conjunctival Goblet Cells06:28

In Vitro Method to Study Sex-Based Differences in Conjunctival Goblet Cells

817
Phenol red-free/fetal bovine serum-free medium is a better option than advanced RPMI to eliminate exogenous hormones without altering the normal function of conjunctival goblet cells in the study of sex-based...
817
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

87.6K
The NICU Network Neurobehavioral Scale (NNNS) was developed as an assessment for the at-risk infant. The purpose of this article is to describe the NNNS, provide video examples of the NNNS procedures and discuss the ways in which the exam has been...
87.6K

You might also read

Related Articles

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

Sort by
Same author

Critical misalignments in climate pledges reveal imbalanced sustainable development pathways.

Nature communications·2026
Same author

Leveraging training expertise to build capacity in computational personalised medicine.

Bioinformatics advances·2026
Same author

Experimentally calibrated multiscale model predicts schedule dependent drug combination effects.

NPJ systems biology and applications·2026
Same author

Quantitative evaluation of methods to analyze motion changes in single-particle experiments.

Nature communications·2025
Same author

Assessing the Impact of Thermal Coating Paints on Indoor Temperature and Energy Efficiency in Colombian Caribbean Homes.

Sensors (Basel, Switzerland)·2025
Same author

Immune digital twins for complex human pathologies: applications, limitations, and challenges.

NPJ systems biology and applications·2024
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.3K

Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of

Daniel Gamermann1, Arnau Montagud2,3, J Alberto Conejero4

  • 1Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS), Av. Bento Gonçalves 9500, CP 15051, 91501-970 Porto Alegre RS, Brazil.

Plos One
|September 6, 2019
PubMed
Summary
This summary is machine-generated.

This study compares dendrograms, which show organism relationships, using genetic sequences versus metabolic networks. Metabolic network dendrograms offer a complementary approach, especially for distantly related organisms.

More Related Videos

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.8K
A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
10:42

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

6.9K

Related Experiment Videos

Last Updated: Jan 20, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.3K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.8K
A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
10:42

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

6.9K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Dendrograms visualize evolutionary relationships between organisms.
  • Traditional dendrograms are inferred from gene or protein sequence comparisons.
  • Different sequence sets or alignment methods yield varied dendrograms.

Purpose of the Study:

  • To evaluate differences in dendrograms generated by various methodologies.
  • To assess the validity of a metabolic network-based approach for dendrogram inference.
  • To compare the efficacy of metabolic network analysis against sequence-based methods.

Main Methods:

  • Reconstruction of dendrograms using diverse methodologies.
  • Random sampling of organism sets from a larger population.
  • Statistical analysis to quantify fluctuations between different dendrograms.
  • Comparative analysis of dendrograms derived from metabolic networks and sequence data.

Main Results:

  • Dendrograms inferred from metabolic networks show similarity to sequence-based dendrograms.
  • The metabolic network approach enables comparison of distantly related organisms lacking ortholog genes.
  • Statistical validation supports the systematic approach of using metabolic networks.

Conclusions:

  • Metabolic network comparison provides a robust method for inferring organism relationships.
  • This approach complements traditional sequence-based dendrograms, especially for deep evolutionary divergences.
  • Metabolic network analysis broadens the scope of phylogenetic inference.