BiocSwirl is a series of in-depth swirlify generated courses used to teach bioinformatics workflows in R/Bioconductor using an interactive and easy to digest format. This project was the People's Choice Award for the Vancouver Bioinformatics Hackathon Hackseq2019.
biocswirl(related to course material)
biocterm (interface changes)
dev (developers only)
file (changes to file and folder structuring)
rpkg (r package/usethis and CRAN documentation changes)
feat (new feature)
fix (bug fix)
refactor (refactoring code)
style (formatting, missing semi colons, etc; no code change)
doc (changes to documentation)
test (adding or refactoring tests; no production code change)
version (version bump/new release; no production code change)
dbg (Changes in debugging code/frameworks; no production code change)
license (Edits regarding licensing; no production code change)
hack (Temporary fix to make things move forward; please avoid it)
WIP (Work In Progress; for intermediate commits to keep patches reasonably sized)
[biocswirl] Complete Bioconductor ChIP-seq Course
Tasks
*must be able to run locally on at least 8GB ram
Additional Resources
https://github.com/crazyhottommy/getting-started-with-genomics-tools-and-resources https://github.com/lisancao/Bioinformatics_with_R
It would be ideal to implement this pipeline: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389943/
https://tess.elixir-europe.org/workflows/fork-of-chip-seq-workflow-with-intermediate-data
Tag can be