R for data science: a book

R toolkit for single cell genomics

Enhancing {ggplot2} plots with statistical analysis 📊📣

Make Complex Heatmaps

'ggplot2' Based Publication Ready Plots

Read flat files (csv, tsv, fwf) into R

Circular visualization in R

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

Paginate the HTML Output of R Markdown with CSS for Print

🦄 Scientific journal and sci-fi themed color palettes for ggplot2

Inferring CNV from Single-Cell RNA-Seq

A geom for ggplot to create bump plots

Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.

Survival Analysis and Visualization

ggplot2 extension for alluvial plots

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

🌈 Interactive analysis of metagenomics data

R package for MetaboAnalyst

Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)

Personal Cancer Genome Reporter (PCGR)

IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

R package for DNA methylation analysis

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

Gene set variation analysis

Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.

Batch effect adjustment based on negative binomial regression for RNA sequencing count data

Light-weight Snakemake workflow for preprocessing and statistical analysis of RNA-seq data