Tutorials & Code
Links to various tutorials and code used by our lab:
Geometric Morphometrics undergraduate lab. An undergraduate lab activity introducing geometric morphometrics that I use in my Evolution course. Github link with lab protocol, data files, and specimen images. Runs in MorphoJ.
Code for running a basic PCA on geometric morphometric data in Geomorph (R). Code for conducting a basic PCA in Geomorph (R).
3D Slicer: Program for working with micro-CT scan data
Getting Started With 3D Slicer. Tutorial for opening a fish micro-CT scan image file in 3D Slicer and visualizing the skeleton.
Segmenting an Individual Skeleton From a Bulk Scan. Tutorial for separating individuals from a bulk scan of several individuals.
Cleaning Up the Segmented Skeleton. Tutorial for how to clean up a segmented skeleton, removing bone fragments of other fish and debris from the image.
R Tutorials: General
Beginning Work in R Tutorial. Short tutorial to begin work in R.
R Tutorials: Graphing
ggplot2 Quick Reference: color (and fill) from SAPE.
Scatter Plot Tutorial. Tutorial for making simple scatter plots in RStudio and ggplot2.
Scatter Plot for Publications Tutorial. Second tutorial for making publication quality scatter plots in RStudio and ggplot2.
Scatter Plot with Vertical and Horizontal Error Bars Tutorial. Tutorial for making simple scatter plots with error bars in RStudio and ggplot2.
Scatter Plots with Regression Lines and Confidence Intervals Tutorial. Tutorial for making scatter plots with Regression Lines and Confidence Intervals in RStudio and ggplot2.
Line Graphs For Multiple Groups Tutorial. Tutorial for making publication quality line graphs with multiple groups in RStudio and ggplot2.
Box Plot Tutorial. Tutorial for making simple box plots in RStudio and ggplot2.
Pie Chart Tutorial. Tutorial for making simple pie charts in RStudio using default graphics.
Grouped Bar Graph Tutorial. Tutorial for making a grouped bar graph in RStudio and ggplot2.
R Tutorials: Basic Statistics
R Basic Statistics: t-test Tutorial. Tutorial for conducting, one-sample, two-sample and paired-sample t-tests in R Studio.
R Basic Statistics: ANOVA. Tutorial for conducting the analysis of variance (ANOVA) in R Studio.
R Basic Statistics: Correlation. Tutorial for conducting a correlation analysis in R Studio.
R Basic Statistics: Regression. Tutorial for conducting linear regression in R Studio.
R Basic Statistics: ANCOVA. Tutorial for conducting the analysis of covariance (ANCOVA) in R Studio.
R Tutorials: Multivariate Analysis
R Multivariate Analysis: Linear Modeling. Tutorial for conducting Linear Modeling in R Studio.
R Multivariate Analysis: PCA. Tutorial for conducting Principal Component Analysis (PCA) in R Studio.
R Tutorials: External Tutorials and Guides
The R Project for Statistical Computing
R Studio- Interface for using R.
R Tutorial- An Online R Tutorial.
Learning R- PDF of book by Ricard Cotton.
Modern Statistics with R. Online book by Mans Thulin.
Modern Statistics for Modern Biology. Online book on Statistics in R and Bioconductor by Susan Holmes and Wolfgang Huber.
R for Data Science- Online version of book by Wickham & Grolemund.
R Graphics Cookbook- Online version of book by Winston Chang.
R Markdown- R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, Garrett Grolemund.
Beyond Multiple Linear Regression. Applied Generalized Linear Models and Multilevel Models in R. Online book by Paul Roback and Julie Legler.
Aguirre Lab Linux Cheat Sheet. A Linux command cheat sheet for our lab.
Linux Cheat Sheet- Cheat sheet for Linux shell commands.
LinuxCommand.org- Link to The Linux Command Line book by William Shotts.
The Unix Shell- Shell tutorial with exercises.
Python Tutorials & Code:
The Python Tutorial- From Python.org.
Conda Tutorials & Code:
Conda - Getting started. A basic guide to getting started with Conda, an environment control system for bioinformatics. Runs from the terminal in Linux.
Useful External Tutorials and Code (Github/Other):
Adaptation Genomics Workshop Materials. By Claire Merot - Github page.
Bionformatics Cheat Sheet (Illumina). By Christoph Hahn - Github page.
Discriminant Analysis of Principal Components (DAPC). By Grünwald et al.
A Short Introduction to Docker for Bioinformatics. By Christoph Hahn - Github page.
Introduction to Genome-Wide Association Studies (GWAS). By Filippo Biscarini, Oscar Gonzalez-Recio, Christian Werner.
Metabarpark. R scripts for reformatting metabarcoding databases by Owen S. Wangensteen - Github page.
UiT Metabarcoding. DUFA, MJOLNIR, CommunR- Github page.
Phylogenomics Tutorial Based on BUSCO Genes. By Christoph Hahn - Github page.
denovo assembly RAD analysis. By Mark Ravinet - Github page.
Last updated: April 29, 2022