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.