bioc-intro
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carpentries-incubator
Bioconductor data science introduction
Clarify that some material is for information (for example ggplot fine-tuning) From Toby: > you can use inline Instructor Notes for blocks that will only be visible in Instructor View...
Mention Bioc in "intro to R" (e.g. BiocManager::install), clarify differences between tidyverse, base R and Bioconductor.
Add links to specific bioc-project sections in the relevant intro sections.
During last [teaching meeting](https://docs.google.com/document/d/1s2QMk5XA-uhBVprAO3ZDk1Yfv1cnUWLp9zdvYq9Feu4/edit#heading=h.4tijhaatqr9c), Fred suggested the following: > Should we rename ‘Next steps’ with something like ‘Working with Bioconductor’, especially when the intro course is considered as an intro...
The bioc-intro workshop was organised at taught at the Center for Computational Biomedicine, Harvard Medical School, Boston on the 3 - 7 April 2023. A total of 35 people total...
As part of the Bioconductor material, we decided to use `BiocManager::install()` for package installation. For beginners, we still to first mention CRAN and `install.packages()` to bootstrap the use of `BiocManager::install()`....
I'm prepping to teach using this workshop and I've made a few minor changes so far, but I've come across a bigger one I wanted to discuss before unilaterally making...
Suggestion: - Phrase key-points to answer the questions at the beginning.
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Bioconductor data science introduction