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Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

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MoBPSweb: A web-based framework to simulate and compare breeding programs.

Torsten Pook¹, Lisa Büttgen¹, Amudha Ganesan¹

¹Center for Integrated Breeding Research, Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, Goettingen D 37075, Germany.

G3 (Bethesda, Md.)

|March 13, 2021

Summary

This summary is machine-generated.

We developed MoBPSweb, a web-based simulation framework for breeding programs. This tool allows flexible logging, simulation, evaluation, and comparison of breeding programs using the Modular Breeding Program Simulator (MoBPS).

Keywords:

MoBPS breeding genetics management nginx population program resource simulation

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Area of Science:

Plant and Animal Breeding
Computational Biology
Bioinformatics

Background:

Breeding program management requires efficient simulation and evaluation tools.
Existing software often lacks flexibility in describing and analyzing diverse breeding strategies.

Purpose of the Study:

Introduce MoBPSweb, a novel web-based simulation framework.
Provide a unified language and flexible environment for breeding program management.
Integrate with the Modular Breeding Program Simulator (MoBPS) for efficient analysis.

Main Methods:

Developed MoBPSweb with a web-based interface and modular input/output system.
Utilized Vis.js for visual breeding program design.
Integrated with the R-package MoBPS for simulation and analysis.
Incorporated modules for phenotype, economic, and other relevant data.

Main Results:

MoBPSweb enables flexible logging, simulation, evaluation, and comparison of breeding programs.
Users can input diverse data through modular components.
Simulation outputs include observed phenotypes, breeding value estimation accuracy, and inbreeding rates.
All analyses are executed efficiently using the R-package MoBPS.

Conclusions:

MoBPSweb offers a flexible and efficient platform for modern breeding program management.
The framework facilitates comprehensive evaluation and comparison of different breeding scenarios.
This tool enhances the capacity for data-driven decision-making in breeding.