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Overview. The BiocManager package, as the modern successor package to BiocInstaller , allows users to and manage packages from the Bioconductor project. Bioconductor focuses on the statistical analysis and comprehension of high-throughput genomic data.
APA citation The minimal requirement is to cite the R package in text along with the version number. Additionally, you can include the reference list entry the authors of the ideal package have suggested. Analysis of the data was done using the ideal package (v1. 14.0; Marini et al., 2020).
Bioconductor is a free, open source, and open development software project for the analysis and comprehension of genomic data generated by wet-lab experiments. Bioconductor packages are distributed from the project website (). Bioconductor is based on the statistical R programming language.
Bioconductor software consists of R add-on packages. An R package is a structured collection of code (R, C, or other), documentation, and/or data for performing particular types of analysis, e.g., affy, cluster, graph packages. It provides executions of specific statistical and graphical methods.
The Bioconductor project was started in the Fall of 2001, as an initiative for the collaborative creation of extensible software for computational biology and bioinformatics (Gentleman, Carey, Bates, Bolstad, Dettling, Dudoit, Ellis, Gautier, Ge, Gentry, Hornik, Hothorn, Huber, Iacus, Irizarry, Leisch, Li, Maechler,

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Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, and an active user community.

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