Closed Physalia86 closed 2 years ago
@Physalia86 Thank you for sharing the event information! I added the event information to the Bioconductor event calendar (in the Google Calendar part). Updating "Upcoming" of https://bioconductor.org/help/events/ will be done when https://github.com/Bioconductor/bioconductor.org/pull/161 is merged.
Thanks so much Kozo!
Best regards, Carlo
-----Original Message----- From: "Kozo Nishida" @.> Sent: Wednesday, June 8, 2022 12:56pm To: "BioconductorBoards/CABWorkingGroups" @.> Cc: "Physalia86" @.>, "Mention" @.> Subject: Re: [BioconductorBoards/CABWorkingGroups] Developing R/Bioconductor packages for genomics (Issue #38)
@Physalia86 Thank you for sharing the event information! I added the event information to the Bioconductor event calendar (in the Google Calendar part). Updating "Upcoming" of https://bioconductor.org/help/events/ will be done when Bioconductor/bioconductor.org#161 is merged. — Reply to this email directly, view it on GitHub , or unsubscribe . You are receiving this because you were mentioned.Message ID: @.***>
@Physalia86 Your event information has also been added to "Events" in https://bioconductor.org/ and "Upcoming" in https://bioconductor.org/help/events/ . I close this issue. Thank you for sharing the event information!
Type
5-day online Course
Description
This course aims at making Bioconductor package development within one’s reach. It is specifically designed for biologists and newer bioinformaticians who may find themselves using R/Bioconductor packages and who wish to expand their programmatic toolkit.
Overall, this course will help the attendees gain accurate insights into the fundamental notions required for proper R/Bioconductor package development. We will cover key theory concepts about package development and the Bioconductor ecosystem, supported by a range of demonstrations and exercises, to get a complete understanding of all the steps of package development.
Throughout this workshop, we will emphasise on the best practices for developing a package embedded in the R/Bioconductor ecosystem. The course is structured in modules over five days. Each day will contain a mix of formal lectures, demonstrations, and hands-on exercises.
Office hours will take place during the last hour of the exercises. An instructor will be available to answer individual questions related to daily exercises.
A Slack channel will also be available so that Q&A is available for everybody.
Location
online
Website
https://www.physalia-courses.org/courses-workshops/r-packages/
Start date and time
October 24th
End date and time
October 28th
Time zone
Central European time 2-8 pm
Contact Details
Info@physalia-courses.org
Registration details (if applicable)
Registration details: https://www.physalia-courses.org/courses-workshops/r-packages/
Sponsor or Organization
Physalia-courses: https://www.physalia-courses.org/
Comment field
The material is suitable both for experimentalists who want to learn more about R/Bioconductor ecosystem as well as computational biologists who want to expand their set of coding skills. However, the course will be most beneficial to those who have already been familiarized with the R environment.
Checklist