The ‘News from the Bioconductor Project’ article from the 2020-2 issue.
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor 3.12 was released on 28 October, 2020. It is compatible with R 4.0.3 and consists of 1974 software packages, 398 experiment data packages, 968 up-to-date annotation packages, and 28 workflows. Books are a new addition, built regularly from source and therefore fully reproducible; an example is the community-developed Orchestrating Single-Cell Analysis with Bioconductor.
The Bioconductor 3.12 release announcement includes descriptions of 125 new software packages, and updates to 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")
::install() BiocManager
Install additional packages and dependencies, e.g., SingleCellExperiment, with
::install("SingleCellExperiment") BiocManager
Docker images provides a very effective on-ramp for power users to rapidly obtain access to standardized and scalable computing environments. Key resources include:
Recent Bioconductor conferences include BioC2020 (July 27-31), BioC Asia 2020 (October 15-18), and the European Bioconductor Meeting (December 14-18). Each had invited and contributed talks, as well as workshops and other sessions to enable community participation. Slides, videos, and workshop material for each conference are available on conference web sites as well as the Courses and Conferences section of the Bioconductor web site. BioC 2021 is planned for August 4-6, with an abstract submission due date of March 9; the virtual conference will be augmented by in-person activities if global health permits.
The Bioconductor project continues to mature as a community. The Technical and Community Advisory Boards provide guidance to ensure that the project addresses leading-edge biological problems with advanced technical approaches, and adopts practices (such as a project-wide Code of Conduct) that encourages all to participate. We look forward to welcoming you!
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For attribution, please cite this work as
Team, "News from the Bioconductor Project", The R Journal, 2020
BibTeX citation
@article{RJ-2020-2-bioc, author = {Team, Bioconductor Core}, title = {News from the Bioconductor Project}, journal = {The R Journal}, year = {2020}, note = {https://rjournal.github.io/}, volume = {12}, issue = {2}, issn = {2073-4859}, pages = {410-410} }