Authors: Jenny Drnevich2, Charlotte Soneson3, Toby Hodges4, Laurent Gatto5.
Last modified: 15 Mar 2021.
The Bioconductor teaching committee was established in early 2020, and one of its aims is to coordinate the development of Bioconductor-focused training material, consistent with the guiding principles of the Carpentries (https://carpentries.org). During its first year, the committee has started the development of three lessons: an introduction to R (with a Bioconductor focus), an overview of the Bioconductor project, and a lesson on bulk RNA-seq analysis with Bioconductor. In this workshop, we would like to raise awareness of the existing lessons within the Bioconductor community, and invite contributions from interested community members. We will start by giving an overview of the Carpentries guiding principles and the procedures for proposing and developing a Bioconductor lesson. After that, we will invite participants to actively engage with and contribute to the existing material, as well as form new working groups for development of additional lessons.
Attendees are interested in learning about the Carpentries’ guiding principles on the science of learning and how to apply them in their own teaching. They will review existing workshop material from the Bioconductor teaching committee and participate in a “lesson sprint”: contribute ideas, suggestions for improvement, evaluation tests, etc. They will also have the opportunity to suggest other lessons and network with others to hopefully form groups to develop these lessons in the future.
|Carpentries guiding principles||20m|
|Overview of workshops in development||20m|
|Future lesson planning||20m|
Target audience: At least a mid-level Bachelor student with basic biology knowledge. They have or will have some type of -omic data they will need to analyze and visualize but possibly no prior experience in programming or data analysis.
Data set: subset of BachMammaryData
Introduction to R curricula: Lesson: Data organization and management Lesson: Data import and cleaning Lesson: Data manipulation and visualization
Target audience: At least a mid-level Bachelor student with basic biology knowledge. They have or will have some type of -omic data they will need to analyze and visualize, and have the obtained the learning objectives of the Introduction to R workshop. They want to learn how to do the analysis themselves but do not know how to start or what software packages are available.
Data set: ?
Target audience: At least a graduate student basic biology knowledge. They have or will have bulk RNA-Seq count data they need to analyze and visualize. They are already familiar with R, RStudio and Bioconductor.
Data set: ?