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

Phylogenetic Trees03:21

Phylogenetic Trees

45.3K
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.
45.3K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
5.7K
Phylogeny01:23

Phylogeny

43.8K
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.
43.8K
Survival Tree01:19

Survival Tree

74
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
74
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.1K
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...
7.1K
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

73
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
73

You might also read

Related Articles

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

Sort by
Same author

Reduced-intensity conditioning therapy with fludarabine, idarubicin, busulfan and cytarabine for allogeneic hematopoietic stem cell transplantation in acute myeloid leukemia and myelodysplastic syndrome.

Leukemia research·2013
Same author

Effects of 3, 5, 3'-triiodothyronine (t3) and follicle stimulating hormone on apoptosis and proliferation of rat ovarian granulosa cells.

The Chinese journal of physiology·2013
Same author

Cardiogenic shock from acute ST-segment elevation myocardial infarction induced by severe multivessel coronary vasospasm.

European heart journal·2013
Same author

[Comparative study on effects of electroacupuncture stimulation of Shenmen (HT 7) and Taiyuan (LU 9) on P 300 of event-related potentials and brain electrical activity mapping in healthy young adults].

Zhen ci yan jiu = Acupuncture research·2013
Same author

MiR-215 modulates gastric cancer cell proliferation by targeting RB1.

Cancer letters·2013
Same author

Low glucose utilization and neurodegenerative changes caused by sodium fluoride exposure in rat's developmental brain.

Neuromolecular medicine·2013
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
Same journal

Tracking Dynamics of Superspreading Through Contacts, Exposures, and Transmissions in Edge-Based Network Epidemics.

Bulletin of mathematical biology·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.3K

Variational Supertrees for Bayesian Phylogenetics.

Michael D Karcher1,2, Cheng Zhang3, Frederic A Matsen4

  • 1Department of Math & CS, Muhlenberg College, 2400 W Chew St, Allentown, PA, 18104, USA. michaelkarcher@muhlenberg.edu.

Bulletin of Mathematical Biology
|August 5, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a variational approach to combine phylogenetic trees from overlapping datasets. It offers a computationally efficient method to approximate combined phylogenetic results without rerunning expensive analyses.

Keywords:
Divide-and-conquerGradient descentPhylogeneticsSupertreesVariational methods

More Related Videos

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

15.9K
Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

12.1K

Related Experiment Videos

Last Updated: Jun 18, 2025

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

35.3K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

15.9K
Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

12.1K

Area of Science:

  • Computational Biology
  • Phylogenetics
  • Statistical Inference

Background:

  • Bayesian phylogenetic inference is computationally intensive.
  • Combining phylogenetic results from overlapping datasets often requires rerunning expensive analyses.
  • Existing methods lack efficient ways to approximate combined phylogenetic posteriors.

Purpose of the Study:

  • To develop a computationally efficient method for approximating a combined phylogenetic posterior distribution from overlapping datasets.
  • To provide a way to leverage existing phylogenetic analyses without recomputation.
  • To address the challenge of combining phylogenetic results from subsets of taxa.

Main Methods:

  • A variational approach is developed to approximate the combined phylogenetic posterior.
  • An algorithm is created to determine the support of the variational distribution over the entire taxon set.
  • Gradient-descent algorithms are used to minimize divergence between subset distributions and the combined distribution.

Main Results:

  • The proposed variational approach effectively approximates the combined phylogenetic posterior distribution.
  • The method demonstrates computational savings compared to rerunning analyses on combined datasets.
  • The algorithms successfully optimize a probability distribution on phylogenetic tree topologies for the entire taxon set.

Conclusions:

  • The variational approach offers a significant computational advantage for combining phylogenetic trees from overlapping data.
  • This method enables researchers to approximate combined phylogenetic results efficiently, saving computational resources.
  • The developed algorithms provide a practical solution for inferring phylogenies from partitioned datasets.