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Learning cell communication from spatial graphs of cells
SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
An implementation of the Grammar of Graphics in R
R's data.table package extends data.frame:
https://www.sc-best-practices.org
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program.
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
wrapper scripts for convenient STARsolo processing of 10X and other scRNA-seq
Pipeline for initial analysis of droplet-based single-cell RNA-seq data
Single-cell analysis in Python. Scales to >100M cells.
A Shiny web app for mapping datasets using Seurat v4
Fit Gamma-Poisson Generalized Linear Models Reliably
The official home of the Presto distributed SQL query engine for big data
The package wrapping the book, for deployment via the Bioconductor build system.