The ‘News from the Bioconductor Project’ article from the 2019-2 issue.
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
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install()Install additional packages and dependencies, e.g., SingleCellExperiment, with
BiocManager::install("SingleCellExperiment")Docker and Amazon images provides a very effective on-ramp for power users to rapidly obtain access to standardized and scalable computing environments. Key resources include:
Our annual conference will be on July 29 - 31, 2020 in Boston, USA.
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For attribution, please cite this work as
Team, "News from the Bioconductor Project", The R Journal, 2019
BibTeX citation
@article{RJ-2019-2-bioc,
author = {Team, Bioconductor Core},
title = {News from the Bioconductor Project},
journal = {The R Journal},
year = {2019},
note = {https://rjournal.github.io/},
volume = {11},
issue = {2},
issn = {2073-4859},
pages = {447-447}
}