Stars
Implements *CellAnnotator (aka *CAT/starCAT), annotating scRNA-Seq with predefined gene expression programs
Efficient stochastic gradient descent algorithms for the estimation of generalized matrix factorization models in R.
mgikit is a collection of tools used to demultiplex fastq files and generate demultiplexing and quality reports.
Robust identification of perturbed cell types in single-cell RNA-seq data
A slimmed down version of scran, based on the C++ library of the same name.
A performant scientific image visualization system.
Create Beautiful Maps Of Your Adventures With Leaflet In R.
Create beautiful, print quality maps of the night sky in R
Metacells - Single-cell RNA Sequencing Analysis
Coarse-graining of large single-cell RNA-seq data into metacells
Fast alignment and preprocessing of chromatin profiles
rcityviews is a user-friendly R interface for creating stylized city maps using OpenStreetMap (www.openstreetmap.org) data, implemented as an R package and a Shiny web application.
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node.
An R package designed to demultiplex cell hashing data
A walkthrough for optimal Audiobook experience using Plex
Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.
This repository contains code related to the publication "Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing" by Senabouth et al.
Nuclear fraction QC metric to detect empty droplets and damaged cells in scRNA-seq data
R package for specialised analysis of single cell data
Pipeline for processing CEL-seq and minibulk data from raw reads to count matrix.
Quasilinear data representations for single-cell omics data analysis