Statistics, Department of
The R Journal
Date of this Version
12-2019
Document Type
Article
Citation
The R Journal (December 2019) 11(2); Editor: Michael J. Kane
Abstract
The Bioconductor project provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor 3.10 was released on 30 October, 2019. It is compatible with R 3.6.1 and consists of 1823 software packages, 384 experiment data packages, 953 up-to-date annotation packages, and 27 workflows. The release announcement includes descriptions of 94 new software packages, and updated NEWS files for many additional packages. Start using Bioconductor by installing the most recent version of R and evaluating the commands
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2019, The R Foundation. Open access material. License: CC BY 4.0 International