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

simuPOP: a forward-time population genetics simulation environment.

Bo Peng1, Marek Kimmel

  • 1Department of Statistics, Rice University, Houston, TX 77005, USA. bpeng@rice.edu

Bioinformatics (Oxford, England)
|July 16, 2005
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

Oridonin protects the lung against hyperoxia-induced injury in a mouse model.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2017
Same author

Changes in angiotensin II and angiotensin-converting enzyme of different tissues after prolonged hyperoxia exposure.

Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc·2017
Same author

Sarcomatoid Renal Cell Carcinoma Has a Distinct Molecular Pathogenesis, Driver Mutation Profile, and Transcriptional Landscape.

Clinical cancer research : an official journal of the American Association for Cancer Research·2017
Same author

Cell type-selective imaging and profiling of newly synthesized proteomes by using puromycin analogues.

Chemical communications (Cambridge, England)·2017
Same author

A cheat sheet to navigate the complex maze of pharmaceutical exclusivities in Europe.

Pharmaceutical patent analyst·2017
Same author

Hydroxamic Acids as Chemoselective (ortho-Amino)arylation Reagents via Sigmatropic Rearrangement.

Angewandte Chemie (International ed. in English)·2017
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

simuPOP is a powerful population genetics simulation environment. It uses Python for flexible, large-scale evolutionary process simulations, from basic models to complex datasets.

Area of Science:

  • Population Genetics
  • Computational Biology
  • Evolutionary Biology

Background:

  • simuPOP is a freely available software package.
  • It is distributed under the GNU General Public License (GPL).
  • Access is provided via http://simupop.sourceforge.net.

Purpose of the Study:

  • To introduce simuPOP, a novel population genetics simulation environment.
  • To highlight its core features and scripting capabilities.
  • To demonstrate its utility for simulating evolutionary processes.

Main Methods:

  • Utilizes a Python-based scripting language for population manipulation.
  • Employs a forward-time simulation approach.
  • Offers interactive and batch processing modes for flexibility.

Related Experiment Videos

Main Results:

  • Enables the creation, manipulation, and evolution of populations.
  • Supports simulation of large and complex evolutionary processes.
  • Provides built-in scripts for basic and advanced population genetics models.

Conclusions:

  • simuPOP offers a flexible and extensible platform for population genetics research.
  • Its Python core facilitates interactive and batch simulations.
  • It is suitable for diverse evolutionary scenarios, from simple models to complex dataset generation.