BioGA
BioGA analyzes and optimizes high-throughput genomic data using genetic algorithms.
Key Features:
- C++ Implementation: Core functions are implemented in C++ for improved computational speed and efficiency.
- R Integration: Functions are accessible within the R programming environment.
Scientific Applications:
- Genomic Data Optimization: Optimization of high-throughput genomic datasets using evolutionary computation principles inspired by natural selection and genetics.
Methodology:
Genetic algorithms inspired by natural selection and genetics.
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 8/30/2026
- Last Updated:
- 8/30/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/BioGADownloads
- Source codehttps://danymukesha.github.io/BioGA/