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

The Roles of Bacteria and Fungi in Plant Nutrition02:11

The Roles of Bacteria and Fungi in Plant Nutrition

47.3K
Plants have the impressive ability to create their own food through photosynthesis. However, plants often require assistance from organisms in the soil to acquire the nutrients they need to function correctly. Both bacteria and fungi have evolved symbiotic relationships with plants that help the species to thrive in a wide variety of environments.
47.3K
Nucleotide Excision Repair01:08

Nucleotide Excision Repair

40.8K
Overview
40.8K
Correlations02:20

Correlations

35.9K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.9K
What is a Species?01:17

What is a Species?

49.9K
Overview
49.9K
Correlation and Causation01:27

Correlation and Causation

42.6K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.6K
Keystone Species01:39

Keystone Species

24.8K
Measures of species biodiversity, such as richness (i.e., the number of species present) and evenness (i.e., their relative abundance), describe an ecological community’s structure. Many factors affect community structure, including abiotic factors (e.g., sunlight and nutrients), disturbances (e.g., fire or flood), species interactions (e.g., predation or competition), and chance events (e.g., foreign species invasion). Certain species—such as keystone species—also play a...
24.8K

You might also read

Related Articles

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

Sort by
Same author

Structure-efficiency relationships and mechanism in carbon quantum dots-shewanella hybrid biogenic fenton systems.

Bioresource technology·2026
Same author

A biomimetic nano-platelet as an antidote for dual antiplatelet therapy-induced bleeding.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Transmesenteric Extrahepatic Portosystemic Shunt for Cavernous Transformation of Portal Vein with Superior Mesenteric Vein Occlusion.

Cardiovascular and interventional radiology·2026
Same author

Effects of dietary trace mineral sources on production parameters and intestinal microbiota in broiler breeder hens.

Poultry science·2026
Same author

Transmesenteric Extrahepatic Portosystemic Shunt for Portal Vein Cavernous Transformation with Symptomatic Portal Hypertension.

Journal of vascular and interventional radiology : JVIR·2026
Same author

scKSFD: federated distillation model with knowledge sharing for cell type classification of clinical transcriptome data.

BMC bioinformatics·2026

Related Experiment Video

Updated: Jan 31, 2026

Comparison of Methods for Isolating Entomopathogenic Fungi from Soil Samples
07:16

Comparison of Methods for Isolating Entomopathogenic Fungi from Soil Samples

Published on: January 6, 2022

5.3K

A new efficient method for analyzing fungi species using correlations between nucleotides.

Xin Zhao1, Kun Tian1, Stephen S-T Yau2

  • 1Department of Mathematical Sciences, Tsinghua University, Beijing 100084, People's Republic of China.

BMC Evolutionary Biology
|December 28, 2018
PubMed
Summary

A new DNA barcode classification method uses an 18-dimensional vector for efficient species identification. This alignment-free approach enhances biodiversity analysis and evolutionary studies.

Keywords:
18-dimensional natural vectorClassificationCorrelations between nucleotidesDNA barcodingFungi speciesPhylogenetic analysis

More Related Videos

Author Spotlight: Aiding Research in Kidney Biology by Labeling Glomeruli in Cleared Tissues
09:50

Author Spotlight: Aiding Research in Kidney Biology by Labeling Glomeruli in Cleared Tissues

Published on: February 9, 2024

1.9K
Use of Stopped-Flow Fluorescence and Labeled Nucleotides to Analyze the ATP Turnover Cycle of Kinesins
07:25

Use of Stopped-Flow Fluorescence and Labeled Nucleotides to Analyze the ATP Turnover Cycle of Kinesins

Published on: October 17, 2014

16.0K

Related Experiment Videos

Last Updated: Jan 31, 2026

Comparison of Methods for Isolating Entomopathogenic Fungi from Soil Samples
07:16

Comparison of Methods for Isolating Entomopathogenic Fungi from Soil Samples

Published on: January 6, 2022

5.3K
Author Spotlight: Aiding Research in Kidney Biology by Labeling Glomeruli in Cleared Tissues
09:50

Author Spotlight: Aiding Research in Kidney Biology by Labeling Glomeruli in Cleared Tissues

Published on: February 9, 2024

1.9K
Use of Stopped-Flow Fluorescence and Labeled Nucleotides to Analyze the ATP Turnover Cycle of Kinesins
07:25

Use of Stopped-Flow Fluorescence and Labeled Nucleotides to Analyze the ATP Turnover Cycle of Kinesins

Published on: October 17, 2014

16.0K

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • DNA barcoding is crucial for species identification and biodiversity assessment.
  • Analyzing complex barcode data is challenging and hinders rapid species identification.
  • Current manual classification methods cannot match the accelerating data generation rate.

Purpose of the Study:

  • To develop a novel, computationally efficient method for DNA barcode classification.
  • To improve the accuracy and speed of species identification using DNA sequence data.
  • To validate the method's effectiveness in phylogenetic and genetic distance analyses.

Main Methods:

  • Proposing a new DNA barcode classification approach using an 18-dimensional natural vector.
  • Augmenting the natural vector with nucleotide covariance for enhanced information utilization.
  • Employing the random forest classifier algorithm for sequence classification.
  • Conducting phylogenetic analysis on the genus Megacollybia for validation.

Main Results:

  • The 18-dimensional vector method achieved accurate DNA barcode classification.
  • The random forest classifier demonstrated computational efficiency for species identification.
  • Phylogenetic analysis of Megacollybia validated the method's utility.
  • The method effectively determined genetic distances within and between species.

Conclusions:

  • The proposed method offers high and robust accuracy for fungi barcode datasets.
  • Generated phylogenetic trees support the method's validity for evolutionary studies.
  • This alignment-free, model-assumption-free approach is a powerful tool for classification and evolutionary analysis.