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 Experiment Videos

Genetic Simulation Library.

J Conery1, M Lynch

  • 1Computational Science Institute, University of Oregon, Eugene, OR 97403, USA.

Bioinformatics (Oxford, England)
|March 9, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Clinical and Quality-of-Life Outcomes of Omalizumab Treatment in Chronic Spontaneous Urticaria.

Irish medical journal·2026
Same author

Correction: Characteristics of infant deaths with positive hair toxicology.

Forensic science, medicine, and pathology·2026
Same author

Pharmacokinetics of Moxidectin in Bare-Nosed Wombats (Vombatus ursinus) After Intravenous, Sub-Cutaneous and Transdermal Administration.

Journal of veterinary pharmacology and therapeutics·2026
Same author

Characteristics of infant deaths with positive hair toxicology.

Forensic science, medicine, and pathology·2026
Same author

A Scoping Review Investigating the International Economic Evidence to Inform the Development of a Career Pathway for Home Support Workers.

Public health reviews·2025
Same author

An application of matching algorithms to generalize small-area estimates of chronic pain prevalence to neighbourhoods across England.

Journal of public health (Oxford, England)·2025
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

The Genetic Simulation Library (GSL) provides C++ tools for population genetics simulations. It models genes across diverse organisms, from single-celled to complex species, aiding ecological and evolutionary research.

Area of Science:

  • Population Genetics
  • Computational Biology
  • Ecology

Background:

  • The Genetic Simulation Library (GSL) is available at http://www.csi.uoregon.edu/projects/genetics/GSL.
  • GSL is free for non-commercial use; contact the author for other applications.

Purpose of the Study:

  • To introduce the Genetic Simulation Library (GSL) as a versatile tool for ecological and evolutionary research.
  • To provide a flexible C++ framework for developing individual-based simulation models.

Main Methods:

  • The GSL utilizes object-oriented programming principles with C++ classes.
  • It supports the representation of genetic structures for various organism types.
  • The library facilitates the creation of individual-based simulation models.

Related Experiment Videos

Main Results:

  • The GSL enables the simulation of genetic processes in both asexually and sexually reproducing populations.
  • It accommodates a wide spectrum of organisms, from single-celled entities to complex species with chromosomal structures.

Conclusions:

  • The Genetic Simulation Library (GSL) is a valuable resource for researchers modeling plant and animal populations.
  • Its flexible design supports diverse genetic representations and simulation scenarios.