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BioCCP.jl: collecting coupons in combinatorial biotechnology
Kirsten Van Huffel1, Michiel Stock1, Bernard De Baets1
1KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, 9000 Ghent, Belgium.
Bioinformatics (Oxford, England)
|November 17, 2021
Summary
This study introduces BioCCP.jl, a Julia package that determines the minimum sample size for combinatorial biotechnology screening experiments. It uses the Coupon Collector Problem framework to ensure sufficient design space coverage.
Area of Science:
- Biotechnology
- Computational Biology
- Experimental Design
Background:
- Combinatorial biotechnology requires comprehensive screening to explore the design space effectively.
- Determining the adequate sample size is critical for the success of these experiments.
Purpose of the Study:
- To introduce the BioCCP.jl package for minimum sample size determination in combinatorial biotechnology.
- To provide functions based on the Coupon Collector Problem for efficient experimental design.
Main Methods:
- Implementation of the Coupon Collector Problem mathematical framework.
- Development of the BioCCP.jl package in the Julia programming language.
Main Results:
- BioCCP.jl offers functions to calculate the minimum sample size needed for complete design space coverage.
- The package facilitates efficient screening experiment planning in biotechnology.
Conclusions:
- BioCCP.jl provides a valuable tool for optimizing sample size in combinatorial biotechnology.
- The package enhances the efficiency and thoroughness of screening experiments.
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