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bioconductor.org

Bioconductor.org

About Bioconductor

“The mission of the Bioconductor project is to develop, support, and disseminate free open source software that facilitates rigorous and reproducible analysis of data from current and emerging biological assays. We are dedicated to building a diverse, collaborative, and welcoming community of developers and data scientists.”

“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. Bioconductor is also available as Docker images.”

📚 RDocumentation provides an easy way to R search the R documentation for every version of every R package on CRAN and Bioconductor.

R: R Fundamentals, R Inventor - R Language Designer: Ross Ihaka and Robert Gentleman in August 1993; R Core Team, R Language Definition on R-Project.org, R reserved words (R keywords), R data structures - R algorithms, R syntax, R input and Output, R data transformations, R probability, R statistics, R linear regression (ANOVA), R time series analysis, R graphics, R markdown, R OOP, R on Linux, R on macOS, R on Windows, R installation, R containerization, R configuration, R compiler - R interpreter (R REPL), R IDEs (RStudio, Jupyter Notebook), R development tools, R DevOps - R SRE, R data science - R DataOps, R machine learning, R deep learning, Functional R, R concurrency, R history, R bibliography, R glossary, R topics, R courses, R Standard Library, R libraries, R packages (tidyverse package), R frameworks, RDocumentation.org / CRAN, R research, R GitHub, Written in R, R popularity, R Awesome list, R Versions, Python. (navbar_r)



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bioconductor.org.txt · Last modified: 2024/04/28 03:36 (external edit)