The ‘News from the Bioconductor Project’ article from the 2018-2 issue.
The Bioconductor project provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor 3.8 was released on 31 October, 2018. It is compatible with R 3.5.2 and consists of 1649 software packages, 360 experiment data packages, and 941 up-to-date annotation packages. The release announcement includes descriptions of 95 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"))
install.packages("BiocManager")
BiocManager::install()Install additional packages and dependencies, e.g., SingleCellExperiment, with
BiocManager::install("SingleCellExperiment")Additional installation instructions are available. Docker and Amazon images provide an effective on-ramp for power users to rapidly obtain access to standardized and scalable computing environments. Key resources include:
Key training resources include common workflows and last year’s conference workshop booklet. Our annual conference will be on June 24 through 27, 2019 in New York City, with a line-up of morning scientific talks and afternoon user-oriente hands-on workshops, as well as a developer day, starting to take shape.
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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Team, "News from the Bioconductor Project", The R Journal, 2018
BibTeX citation
@article{RJ-2018-2-bioc,
author = {Team, Bioconductor Core},
title = {News from the Bioconductor Project},
journal = {The R Journal},
year = {2018},
note = {https://rjournal.github.io/},
volume = {10},
issue = {2},
issn = {2073-4859},
pages = {587-587}
}