The ‘News from the Bioconductor Project’ article from the 2017-2 issue.
The Bioconductor project provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor 3.6 was released on 31 October, 2017. It is compatible with R 3.4.3 and consists of 1473 software packages, 326 experiment data packages, and 911 up-to-date annotation packages. The release announcement includes descriptions of 100 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
source("https://bioconductor.org/biocLite.R")
biocLite()
Install additional packages and dependencies, e.g., BiocFileCache, with
::biocLite("BiocFileCache") BiocInstaller
Docker and Amazon images provide a very effective on-ramp for power users to rapidly obtain access to standardized and scalable computing environments. Key resources include:
The bioconductor.org web site to install, learn, use, and develop Bioconductor packages.
A listing of available software, linking to pages describing each package.
A question-and-answer style user support site and developer-oriented mailing list.
The F1000Research Bioconductor channel for peer-reviewed Bioconductor work flows.
Our package submission repository for open technical review of new packages.
Our annual conference, still in the planning stages, will be on July 25 (‘Developer Day’), 26, and 27, in Toronto, Canada.
This article is converted from a Legacy LaTeX article using the texor package. The pdf version is the official version. To report a problem with the html, refer to CONTRIBUTE on the R Journal homepage.
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, 2017
BibTeX citation
@article{RJ-2017-2-bioc, author = {Team, Bioconductor Core}, title = {News from the Bioconductor Project}, journal = {The R Journal}, year = {2017}, note = {https://rjournal.github.io/}, volume = {9}, issue = {2}, issn = {2073-4859}, pages = {567-567} }