How krabberod/unis_ab332_2025 works
UNIS AB332 2025 is a teaching course, not a software runtime. Its documented learner workflow is to prepare the R environment, attend lectures on metabarcoding, clustering and denoising, R, and RStudio, then work through computer labs I–IV. The course also includes geographic and taxonomic-analysis material and data files. The graph reflects the published timetable and file names; source excerpts were unavailable, so it does not assert which lab reads which data or calls which analysis code.
Main entry points: README.md Course schedule · Readme.md R setup guide · Install_required_packages.R Package installer · Introduction_to_Metabarcoding_AB332_2025.pdf Metabarcoding
Components 15
Course plan
- Course schedule
README.md
R setup
- R setup guide
setup/Readme.md - Package installer
setup/Install_required_packages.R
Lectures
- Metabarcoding
Lectures/Introduction_to_Metabarcoding_AB332_2025.pdf - Clustering and denoising
Lectures/Clustering_lecture_2025.pdf - Introduction to R
Lectures/introduction_to_R_2025.pdf - Introduction to RStudio
Lectures/Introduction_to_Rstudio_2025.pdf
Computer labs
- Computer lab I
computer_lab/Computer_lab_I.Rmd - Computer lab II
computer_lab/Computer_lab_II.Rmd - Computer lab III
computer_lab/Computer_lab_III.Rmd - Taxonomic analysis
computer_lab/Computer_lab_IV-taxonomic_analysis_phyloseq.R - Geographic analysis
computer_lab/geographic.Rmd - OTU table
computer_lab/data/IMOS_OTU_Table.csv - Sample metadata
computer_lab/data/IMOS_metadata.csv
Other components
- Learner
Connections 12
- Learner → Course schedule: follows
- Course schedule → R setup guide: links to
- R setup guide → Package installer: explains
- Course schedule → Metabarcoding: schedules
- Course schedule → Clustering and denoising: schedules
- Course schedule → Introduction to R: schedules
- Course schedule → Introduction to RStudio: schedules
- Course schedule → Computer lab I: schedules
- Course schedule → Computer lab II: schedules
- Course schedule → Computer lab III: schedules
- Course schedule → Taxonomic analysis: schedules
- Learner → Geographic analysis: studies