wilkelab/cowplot

Data Visualization

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Created over 9 years ago
Updated 3 months ago

wilkelab/cowplot

wilkelab

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cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2

cowplot – Streamlined plot theme and plot annotations for ggplot2

The cowplot package provides various features that help with creating publication-quality figures, such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been used extensively in the book Fundamentals of Data Visualization.

Installation

The cowplot package is available on CRAN and can be installed via

install.packages("cowplot")

To install the latest development version of the package using the devtools package, enter the following in your R console:

remotes::install_github("wilkelab/cowplot")

Usage

To get a quick introduction to the main features of this package, read the introductory vignette. For a more in-depth discussion, read all vignettes and/or the reference documentation.

ggtext

Improved text rendering support for ggplot2

ggridges

Ridgeline plots in ggplot2

SDS375

SDS 375 Data Visualization in R

ungeviz

Tools for visualizing uncertainty with ggplot2

gridtext

Improved text rendering support for grid graphics in R

practicalgg

Practical ggplot2

Opfi

A Python package for discovery, annotation, and analysis of gene clusters in genomics or metagenomics data sets.

ProteinEvolutionToolbox

DSC385

Metagenomics_CAST

Metagenomic search for novel CRISPR-transposons

influenza_HA_evolution

sicegar

R package for the analysis of single cell virology growth curves

wilkelab.github.io.archive_sep_2020

Source for wilkelab.org website

cinful

A fully automated pipeline to identify microcins along with their associated immunity proteins and export machinery

influenza_pH1N1_timecourse

dataviz_shortcourse

Materials for a dataviz shortcourse

r4s_benchmark

EBOV_H1N1

cinful_data_analysis

A repository for the analysis involved in "Evidence for widespread class II microcins in Enterobacterales genomes"

Jupyter Notebook

wilkelab.github.io

influenza_H3N2_passaging

Data and code for McWhite et al., Sequence amplification via cell passaging creates spurious signals of positive adaptation in influenza virus H3N2 hemagglutinin, Virus Evolution (2016)

complex_divergence_simul

Code and data for PPI simulation part of Kachroo et al., Systematic humanization of yeast genes reveals conserved functions and genetic modularity. Science 348:921–925, 2015

eGFP_deletion_prediction

rate_variability_variation

Code and data for Jackson et al., Intermediate divergence levels maximize the strength of structure–sequence correlations in enzymes and viral proteins, Protein Science, in press.

MACV_TfR1_modeling

influenza_codon_usage

Data and code for Smith et al., Avian Influenza Virus PB1 Gene in H3N2 Viruses Evolved in Humans To Reduce Interferon Inhibition by Skewing Codon Usage toward Interferon-Altered tRNA Pools, mBio 2018

therm_constraints_rate_variation

Code and data for Echave et al., Relationship between protein thermodynamic constraints and variation of evolutionary rates among sites, Phys. Biol. 12:025002, 2015.