An R-focused pipeline toolkit for reproducibility and high-performance computing
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Updated
May 15, 2024 - R
An R-focused pipeline toolkit for reproducibility and high-performance computing
Function-oriented Make-like declarative workflows for R
A repository for setting up a RNAseq workflow
zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs
Archetypes for targets and pipelines
Short course on the targets R package
integrated RNA-seq Analysis Pipeline
Machine learning pipelines for R.
A comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data
Example Shiny app containing a targets pipeline.
A minimal example data analysis project with the targets R package
Example workflows for the drake R package
Transcriptomics Visualization R package.
Targets extensions for geospatial data
Multi-sample somatic variant caller
De novo annotation of young retrotransposons
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
Get started with the {targets} R package in four minutes
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