Led by: ArrietaLab
Location: Oswaldo Cruz Foundation - Rio de Janeiro, Brazil
Dates: 3-5 April 2023
Objective: Analyzing microbial DNA sequences
Requirements:
- Laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) with administrative privileges
- Access to Wifi
- R and Rstudio installed (instructions below)
- Excel or any text editor installed (e.g. TextWrangler, Notepad, BBEdit, etc.)
Contact: mona.parizadeh@ucalgary.ca
This workshop covers the following material:
- Introduction to metabarcoding and amplicon sequencing
- Introduction to R
- DADA2 Tutorial
- Introduction to phyloseq package in R
- Data exploration
- Statistical analyses of 16S rRNA gene sequences:
- Taxonomic composition
- Alpha diversity
- Beta diversity (ordination)
- PERmutational Multivariate ANalysis Of VAriance (PERMANOVA)
- Differential analysis
- Discussion
R is a free and open-source programming language that is particularly powerful for data exploration, visualization, and statistical analysis. We use RStudio to interact with R.
Please download R for Windows from CRAN to install R, and also install the RStudio IDE. If you have separate user and admin accounts, please run the installers as an administrator by right-clicking on the .exe file and selecting "Run as administrator" instead of double-clicking. Otherwise, problems may arise later when installing R packages.
Video Tutorial
Please download R for macOS from CRAN to install R, and also install the RStudio IDE.
Video Tutorial
Please download the binary files for your distribution from
CRAN to install R, or use a package manager
(e.g. run sudo apt-get install r-base
for Debian/Ubuntu and run
sudo yum install R
for Fedora/Redhat). Additionally, please install the
RStudio IDE.
- dada2
- phyloseq
- vegan
- ggplot2
- tidyverse (or tidyr): Tutorial by Data Carpentry
- dplyr
- BiocGenerics
- SummarizedExperiment
- rstatix
- DESeq2
- ggpubr
- RColorBrewer
- gridExtra