News from the Bioconductor Project

The ‘News from the Bioconductor Project’ article from the 2017-2 issue.

Bioconductor Core Team (Biostatistics and Bioinformatics, Roswell Park Cancer Institute)
2017-12-01

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

  BiocInstaller::biocLite("BiocFileCache")

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:

Our annual conference, still in the planning stages, will be on July 25 (‘Developer Day’), 26, and 27, in Toronto, Canada.

Bioconductor packages used

BiocFileCache

Note

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Reuse

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 ...".

Citation

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}
}