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

Genetic Screens02:46

Genetic Screens

5.8K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.8K

You might also read

Related Articles

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

Sort by
Same author

New amino butenolides from the bulbs of Fritillaria unibracteata.

Fitoterapia·2014
Same author

[Prevalence and homology analysis on human and animals severe fever with thrombocytopenia syndrome virus infection in Yantai of Shandong province].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2014
Same author

Moderate-intensity rotating magnetic fields do not affect bone quality and bone remodeling in hindlimb suspended rats.

PloS one·2014
Same author

Databases for B-cell epitopes.

Methods in molecular biology (Clifton, N.J.)·2014
Same author

HSP60 is involved in the neuroprotective effects of naloxone.

Molecular medicine reports·2014
Same author

[Resource situation investigation about Rheum tanguticum and its sustainable utilization analysis in main production area of China].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2014

Related Experiment Video

Updated: Mar 10, 2026

High-throughput DNA Extraction and Genotyping of 3dpf Zebrafish Larvae by Fin Clipping
10:12

High-throughput DNA Extraction and Genotyping of 3dpf Zebrafish Larvae by Fin Clipping

Published on: June 29, 2018

15.0K

Resistance gene identification from Larimichthys crocea with machine learning techniques.

Yinyin Cai1,2, Zhijun Liao3, Ying Ju1

  • 1School of Information Science and Technology, Xiamen University, Xiamen, Fujian 361005, China.

Scientific Reports
|December 7, 2016
PubMed
Summary

Researchers developed a machine learning method to identify resistance genes (R-genes) in Larimichthys crocea (L.Crocea). This bioinformatics approach aids in understanding fish immunity and supports selective breeding for improved marine aquaculture. The LCRG-Pred webserver is now available.

More Related Videos

Examining Muscle Regeneration in Zebrafish Models of Muscle Disease
07:58

Examining Muscle Regeneration in Zebrafish Models of Muscle Disease

Published on: January 18, 2021

5.8K
DNA-based Fish Species Identification Protocol
09:15

DNA-based Fish Species Identification Protocol

Published on: April 28, 2010

30.3K

Related Experiment Videos

Last Updated: Mar 10, 2026

High-throughput DNA Extraction and Genotyping of 3dpf Zebrafish Larvae by Fin Clipping
10:12

High-throughput DNA Extraction and Genotyping of 3dpf Zebrafish Larvae by Fin Clipping

Published on: June 29, 2018

15.0K
Examining Muscle Regeneration in Zebrafish Models of Muscle Disease
07:58

Examining Muscle Regeneration in Zebrafish Models of Muscle Disease

Published on: January 18, 2021

5.8K
DNA-based Fish Species Identification Protocol
09:15

DNA-based Fish Species Identification Protocol

Published on: April 28, 2010

30.3K

Area of Science:

  • Bioinformatics
  • Genomics
  • Immunology

Background:

  • Resistance genes (R-genes) are crucial for organisms to adapt to environmental changes by producing resistance proteins.
  • Understanding the immune mechanisms of Larimichthys crocea (L.Crocea) is vital for aquaculture and marine environmental health.
  • Current knowledge of L.Crocea's immune system and R-genes remains limited despite extensive biological research.

Purpose of the Study:

  • To develop and evaluate a novel machine learning-based prediction method for identifying R-genes and R-gene-like genes in L.Crocea.
  • To enhance the understanding of L.Crocea's immune mechanisms against pathogens.
  • To provide a user-friendly bioinformatics tool for R-gene identification in L.Crocea.

Main Methods:

  • Utilized machine learning techniques for feature extraction and classification of genomic data.
  • Applied various statistical analyses to validate the reliability and effectiveness of the prediction models.
  • Developed a webserver, LCRG-Pred, for practical application of the prediction method.

Main Results:

  • The study successfully identified potential novel R-genes and R-gene-like genes in L.Crocea using the developed machine learning approach.
  • The effectiveness of feature extraction and classification methods in predicting R-genes was demonstrated.
  • The reliability of the prediction method was confirmed through statistical analyses.

Conclusions:

  • The proposed machine learning method offers a powerful approach for identifying R-genes in L.Crocea, overcoming limitations of traditional biological methods.
  • This research contributes significantly to understanding L.Crocea's immunity and provides valuable tools for selective breeding programs.
  • The LCRG-Pred webserver is a valuable resource for researchers studying fish immunity and genomics.