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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.1K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.1K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

531
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
531
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

505
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
505
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

169
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
169

You might also read

Related Articles

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

Sort by
Same author

Three Competitive ELISAs to Quantify the D-Antigen Content of Aluminum-Salt Adjuvanted Recombinant Polio VLPs (Types 1, 2, 3) to Enable Preformulation Characterization Studies.

Vaccines·2026
Same author

High quality genome assemblies of African cattle breeds using PacBio HiFi sequencing.

Scientific data·2026
Same author

Establishing standards for genome wide association studies in eusocial insects through a case study in honey bees.

Scientific reports·2026
Same author

Genetic prediction with ARG-powered linear algebra.

Genetics·2026
Same author

Developability assessments with four mRNA-LNP vaccine formulations comparing mouse immunogenicity, structural attributes, and stability profiles.

Journal of pharmaceutical sciences·2026
Same author

Spatial modelling improves genomic evaluation in Tanzanian smallholder admixed dairy cattle.

Genetics, selection, evolution : GSE·2026
Same journal

Duplication-based genetic dissection of the Down syndrome critical region reveals its complex functional organization.

G3 (Bethesda, Md.)·2026
Same journal

The complete sequence of the silkworm W chromosome uncovers its rapid evolution by large-scale duplications/deletions and translocation of W-linked genes.

G3 (Bethesda, Md.)·2026
Same journal

Revisiting the genome assembly of Lupinus species reveals differential diploidization after a shared whole-genome duplication.

G3 (Bethesda, Md.)·2026
Same journal

Deconstructing empirical fitness seascapes across scales of granularity.

G3 (Bethesda, Md.)·2026
Same journal

Genomes of Conopholis americana and Epifagus virginiana: Two holoparasitic plants (Orobanchaceae).

G3 (Bethesda, Md.)·2026
Same journal

"A chromosome-level reference genome for the colonial marine hydrozoan Podocoryna americana".

G3 (Bethesda, Md.)·2026
See all related articles

Related Experiment Video

Updated: Nov 14, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.2K

AlphaSimR: an R package for breeding program simulations.

R Chris Gaynor1, Gregor Gorjanc1, John M Hickey1

  • 1The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Research Centre, Midlothian EH25 9RG, UK.

G3 (Bethesda, Md.)
|March 11, 2021
PubMed
Summary
This summary is machine-generated.

AlphaSimR is a flexible R package for simulating plant and animal breeding programs. It enables detailed testing and design of complex breeding strategies for various species using a scripting approach.

Keywords:
Breeding ProgramsRStochastic Simulation

More Related Videos

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
12:10

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

Published on: November 30, 2014

13.6K
Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

9.9K

Related Experiment Videos

Last Updated: Nov 14, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.2K
An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
12:10

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

Published on: November 30, 2014

13.6K
Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

9.9K

Area of Science:

  • Quantitative Genetics
  • Biotechnology
  • Computational Biology

Background:

  • Breeding programs require robust simulation tools for strategy evaluation and design.
  • Existing software may lack flexibility for complex or custom breeding program designs.
  • Stochastic simulations are crucial for predicting outcomes in plant and animal breeding.

Purpose of the Study:

  • Introduce AlphaSimR, a novel R package for advanced breeding program simulations.
  • Demonstrate the flexibility and capabilities of AlphaSimR for diverse breeding scenarios.
  • Provide a user-friendly tool for optimizing breeding program strategies and designs.

Main Methods:

  • Development of AlphaSimR as an R package utilizing a scripting approach.
  • Implementation of stochastic simulation capabilities for diploid and autopolyploid species.
  • Design for modeling complex, including commercial, plant and animal breeding programs.

Main Results:

  • AlphaSimR offers high flexibility, allowing users to define custom breeding program designs.
  • The scripting approach supports the modeling of highly complex breeding program structures.
  • The package is suitable for testing both overall strategy and detailed design aspects.

Conclusions:

  • AlphaSimR provides a powerful and adaptable solution for plant and animal breeding simulations.
  • The software empowers researchers and breeders to model virtually any breeding program.
  • AlphaSimR facilitates informed decision-making in the design and execution of breeding programs.