rstudio:conf 2020 recap
Get a re-cap of what I learned at the workshops and presentations at rstudio:conf 2020 in San Francisco, CA.
R fridays #8: PRO-seq and heatmaps
Monica demonstrates how to make heatmaps from PRO-seq data using the pheatmap package.
R fridays #7: Fluorescence Anisotropy
In this post we will analyze fluorescence anisotropy data to determine protein-ligand binding kinetics.
R fridays #6: Visualizing RNA-seq data
Katie Rothamel demonstrates how to visualize FPKM values from RNA-seq using ggplot2.
R fridays #4: Analyzing MaxQuant proteomics data
In this post we explore the distribution of raw MS1 intensities from LC-MS/MS data analyzed with MaxQuant.
R fridays #3: Delta-Delta CTs and ggplot2
Today we finished calculating expression values for RT-qPCR data and learned how to visualize the data using ggplot2.
R fridays #2: Cleaning qPCR Data
In this post we finished cleaning the RT-qPCR data from last week and started to calculate expression values from raw RT-qPCR Ct values.
R fridays #1: Reading in Sam's qPCR data
This post covers reading in and cleaning RT-qPCR data using the tidyverse packages.
R fridays: Introduction
Learn how to start an R session at the command line, save R commands in an Rscript, and edit that Rscript in the RStudio development environment.
Welcome to R fridays!
Start here if you are new to R fridays