Registration Open for Bioc2024 July 24-26

BioGA

This is the development version of BioGA; to use it, please install the devel version of Bioconductor.

Bioinformatics Genetic Algorithm (BioGA)


Bioconductor version: Development (3.20)

Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package allows users to analyze and optimize high throughput genomic data using genetic algorithms. The functions provided are implemented in C++ for improved speed and efficiency, with an easy-to-use interface for use within R.

Author: Dany Mukesha [aut, cre]

Maintainer: Dany Mukesha <danymukesha at gmail.com>

Citation (from within R, enter citation("BioGA")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("BioGA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BioGA")
Introduction HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews ExperimentalDesign, Software, Technology
Version 0.99.6
In Bioconductor since BioC 3.20 (R-4.4)
License MIT + file LICENSE
Depends R (>= 4.4)
Imports ggplot2, graphics, Rcpp, SummarizedExperiment, animation, rlang, biocViews, sessioninfo, BiocStyle
System Requirements
URL https://danymukesha.github.io/BioGA/
Bug Reports https://github.com/danymukesha/BioGA/issues
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0)
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BioGA_0.99.6.tar.gz
Windows Binary
macOS Binary (x86_64) BioGA_0.99.6.tgz
macOS Binary (arm64) BioGA_0.99.6.tgz
Source Repository git clone https://git.bioconductor.org/packages/BioGA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BioGA
Bioc Package Browser https://code.bioconductor.org/browse/BioGA/
Package Short Url https://bioconductor.org/packages/BioGA/
Package Downloads Report Download Stats