R toolkit for single cell genomics
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Updated
Jul 3, 2024 - R
R toolkit for single cell genomics
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments
A tool for unsupervised projection of single cell RNA-seq data
Tidy R query API for the harmonised and curated CELLxGENE single-cell atlas.
Clone of the Bioconductor repository for the SingleCellExperiment package, see https://bioconductor.org/packages/devel/bioc/html/SingleCellExperiment.html for the official development version.
Clone of the Bioconductor repository for the DropletUtils package.
Clone of the Bioconductor repository for the scran package.
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
This repository contains our CellTag workflow, as deployed in our 2018 Biddy et al., Nature paper.
Access and Format Single-cell RNA-seq Datasets from Public Resources
This repository contains the CellTag data analysis R package to support clone calling and lineage reconstruction.
Clone of the Bioconductor repository for the batchelor package.
K-means clustering for large single-cell datasets
Access data from the Human Cell Atlas project, directly via R/Bioconductor
Clone of the Bioconductor repository for the BiocSingular package.
This repository contains our CellTag CloneHunter R package for clone-calling.
CITE-seq profiling of human PBMCs at baseline and activation conditions
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