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

6.8K
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...
6.8K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

636
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
636
What is Population Genetics?01:25

What is Population Genetics?

64.2K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
64.2K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

527
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
527
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.2K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
15.2K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.9K
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...
7.9K

You might also read

Related Articles

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

Sort by
Same author

<i>Clumppling 2.0</i>: A Clustering Alignment Program for Population Structure Analyses.

Human population genetics and genomics·2026
Same author

Resource management as a conservation tool to impact genetic diversity through mating patterns in wild populations.

Ecological applications : a publication of the Ecological Society of America·2026
Same author

Network-based genetic monitoring of landscape fragmentation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Reflections on the Human Genome Diversity Project: a conversation with Marcus W. Feldman, Henry T. Greely, and Mary-Claire King.

Genetics·2026
Same author

Genomics and genetic rescue.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Enumeration of rooted binary perfect phylogenies.

Discrete applied mathematics (Amsterdam, Netherlands : 1988)·2025
Same journal

High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

Genome research·2026
Same journal

Complete sequencing of medaka genomes reveals the architecture of centromeric satellites, giant mobile elements, and sex chromosomes.

Genome research·2026
Same journal

Convergence and conflict among telomere specialized transposons across 60 million years of Drosophilid evolution.

Genome research·2026
Same journal

A unified analysis of cell type- and trajectory-associated pathways in single-cell data using Phoenix.

Genome research·2026
Same journal

Resf1 is required for proper placental development and configuration of trophoblast cell-specific heterochromatin.

Genome research·2026
Same journal

Telomere-driven replicative crisis is driven by large-scale changes in genomic architecture.

Genome research·2026
See all related articles

Related Experiment Video

Updated: Jan 4, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.7K

Network-based hierarchical population structure analysis for large genomic data sets.

Gili Greenbaum1, Amir Rubin2, Alan R Templeton3,4

  • 1Department of Biology, Stanford University, Stanford, California 94305, USA.

Genome Research
|November 8, 2019
PubMed
Summary
This summary is machine-generated.

A new network-based method reveals hierarchical population structure from genetic data. This approach efficiently extracts ecological and evolutionary insights from large genomic datasets in various species.

More Related Videos

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.6K
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

411.2K

Related Experiment Videos

Last Updated: Jan 4, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.7K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.6K
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

411.2K

Area of Science:

  • Genetics
  • Network Theory
  • Computational Biology

Background:

  • Analyzing population structure using genetic data is crucial for ecological and evolutionary studies.
  • Large genomic datasets necessitate advanced methods for revealing hierarchical population structure, including fine-scale genetic clusters.

Purpose of the Study:

  • To present a novel network-based approach for constructing population structure representations from genetic data.
  • To provide a computationally efficient method with minimal biological assumptions for analyzing population structure.

Main Methods:

  • Utilized community-detection algorithms from network theory to generate hierarchical population structure representations.
  • Applied the network-based approach to analyze population structure in *Arabidopsis thaliana* and human populations.

Main Results:

  • The network-based method effectively identified hierarchical population structures.
  • Demonstrated the approach's ability to extract ecological and evolutionary information from large genomic datasets.

Conclusions:

  • Network-based approaches are well-suited for analyzing population structure in the era of big genomic data.
  • This method offers an efficient and flexible tool for understanding population genetics across diverse taxa.