The Bioconductor Training Committee is a collaborative effort to consolidate Bioconductor-focused training materials and build a global community of instructors. We define curricula and develop lessons for beginner and more advanced R users who want to analyse their data with Bioconductor packages.
The committee reports to the Bioconductor Community Advisory Board and is currently chaired by Charlotte Soneson and Jenny Drnevich.
There is no formal joining process or minimum commitment. Simply attend one of our monthly meetings or join the conversation to become part of the community.
- Monthly meeting link
- Rolling agenda and notes
- Google group for announcements and meeting reminders
- The
#education-and-trainingchannel on Bioconductor Chat
Bioconductor community seminar series bring together researchers, software developers and educators to share practical approaches to biological data analysis with Bioconductor.
An online seminar series highlighting the use of Bioconductor for biological data analysis, with a focus on topics relevant to researchers across Africa and beyond.
The series includes introductory and thematic sessions led by members of the Bioconductor community and is open to anyone interested in Bioconductor and related workflows.
Explore upcoming and past Bioconductor workshops, seminars and other activities on the Bioconductor events page.
Bioconductor Carpentry lessons developed by the training committee are organised into modules, each designed for specific audiences and skill levels.
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bioc-intro An introduction to R, RStudio, data cleaning, management, analysis, and visualisation, based on the Carpentries Ecology curriculum. No prior experience required. Includes introductory Bioconductor concepts.
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bioc-rnaseq Bulk RNA-seq analysis and interpretation with Bioconductor packages. Requires good familiarity with R and Bioconductor.
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bioc-scrnaseq Single-cell RNA-seq analysis with Bioconductor, covering QC, cell type annotation, multi-sample workflows, large datasets, and integration with public data. Requires R/Bioconductor familiarity; bulk RNA-seq experience helpful but optional.
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bioc-project An overview of the Bioconductor project: website, packages, landing pages, vignettes, workflows, release cycles, and infrastructure. Designed to be combined with other modules during workshops.
Interested in developing a new lesson or adapting a Carpentry-style module? We would be happy to discuss lesson design, long-term maintenance, dissemination and other support you may need.
- Contact us through the
#education-and-trainingchannel on Bioconductor Chat - Read the Lesson Design and Maintenance Guidelines
Learning and teaching biological data science in the Bioconductor community
Drnevich, Tan et al. (2025)
Published in PLOS Computational Biology
- Laurent Gatto, 2020–2026
To join the committee, contribute to its work or learn more:
- Join the
#education-and-trainingchannel on Bioconductor Chat - Contact one of the committee co-chairs
- Attend one of our monthly meetings
We look forward to welcoming you to the Bioconductor training community.