R

Today marks the release of Bioconductor 3.7 (official announcement). Congratulations to the hundreds of developers who have collectively developed more than 1500 software packages, not to mention the annotation, experiment data, and workflow packages. A huge thank you to the core team for the incredible work they do, especially around release time! Much of my recent development work on Bioconductor has been leveraging and extending the DelayedArray framework developed by Hervé Pagès (Bioconductor Core Team).

Over the Australian summer, I flew home from Baltimore to attend the wedding of two of my dearest friends, Kirsty and Kelly. I had the added excitement of helping officiate their ceremony and could not have been more thrilled. There’s was to be the first legal same-sex marriage in Tasmania, the southernmost state of Australia. Needless to say, it was a bloody incredible day, as recorded in several media articles, including The Advocate, PEDESTRIAN.

A couple of weeks back I was in Boston for BioC2017, the annual Bioconductor meeting. This is my favourite conference because I get to hear from and meet the awesome community that develop and use R/Bioconductor packages to enable research in high-throughput biology. The agenda and slides for the 3 days are available from https://www.bioconductor.org/help/course-materials/2017/BioC2017/. I’m drawing on these notes that I scrawled during Developer Day, the first day of the meeting.