Clay Wright's repositories
ViVa
Visualizing Variation in the Arabidopsis 1001 genomes project
BSE3144
Engineering Analysis for Biological Systems
interactiveBSE
LearnR chapters for Interactive Introduction to BSE textbook
flowTime
Annotation and analysis of time-lapse and steady-state flow cytometry data
PSB-AssemblyTron
The Wright Plant Synthetic Biology Lab private AssemblyTron repository
interactive-intro-to-BSE
BSE2004 interactive textbook
VDH-COVID-data
Shiny App of VDH Covid-19 age group data
sortable
R htmlwidget for Sortable.js
shell-novice
The Unix Shell
BSgenome.Gmax.EnsemblPlants.Gmv2
This package has the full genome sequences for Glycine max as provided by EnsemblPlants, and it intends to facilitate the data analysis for G. max by making its full genome sequences available through BSgenome.
MathJax-siunitx
MathJax extension that emulates the great LaTeX package `siunitx` by Joseph Wright
r1001genomes
Shiny app and R package to facilitate exploration of the 1001 genomes dataset
r-novice-gapminder
Introduction to R for non-programmers using gapminder data.
land-designations-shinyapp
R Shiny application for interactive data visualization of land designations that contribute to conservation in B.C.
Intro_to_R_RStudio_and_ANOVA
An introduction to R, RStudio, ANOVA, and ggplot2 with examples from Brady et al. Reassess the t Test: Interact with All Your Data via ANOVA, 2015. To view download the Intro_to_R_RStudio_ANOVA.docx file below.
Intro_to_R_RStudio_and_ggplot
An introduction to R, RStudio, ggplot2, and time course flow cytometry data analysis. To view download the Intro_to_R.docx file below.
bioc_docker
Docker containers for Bioconductor
rocker
R configurations for Docker
statistical-learning
Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
alignfigR
Create sequence alignment figures in R
generate-exam
R markdown for generating a formatted exam from a csv of questions
RCW-CV
A simple LaTeX academic CV template
jupyter-docker-pymol
Container-based installation of pymol, with interaction through the browser via Jupyter notebook
Week6_Rmarkdown
Demo of making interactive documents with R
Week3_speeding_things_up
Demonstrations of how to speed up your code.