News from the Bioconductor Project

Abstract:

The ‘News from the Bioconductor Project’ article from the 2017-1 issue.

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Published

June 1, 2017

Citation

Team, 2017

Volume

Pages

9/1

508 - 508


The Bioconductor project provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor 3.5 was released on 25 April, 2017. It is compatible with R 3.4 and consists of 1383 software packages, 316 experiment data packages, and 911 up-to-date annotation packages. The release announcement includes descriptions of 88 new 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., AnnotationHub, with

  BiocInstaller::biocLite("AnnotationHub")

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, BioC 2017: Where Software and Biology Connect, will be on June 26 (‘developer day’), 27 and 28, in Boston, MA.

Bioconductor packages used

AnnotationHub

Note

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.

Footnotes

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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 ...".

    Citation

    For attribution, please cite this work as

    Team, "News from the Bioconductor Project", The R Journal, 2017

    BibTeX citation

    @article{RJ-2017-1-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 = {1},
      issn = {2073-4859},
      pages = {508-508}
    }