Single-cell analysis in Python. Scales to >1M cells.
An interactive explorer for single-cell transcriptomics data
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Annotated data.
pySCENIC is a lightning-fast python implementation of the SCENIC pipelin...
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Single cell perturbation prediction
R/shiny interface for interactive visualization of data in SummarizedExp...
starfish: unified pipelines for image-based transcriptomics
The COnstraint-Based Reconstruction and Analysis Toolbox. D...
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequ...
R package for analyzing and interactively exploring large-scale single-c...
Differential expression analysis for single-cell RNA-seq data.
R package for analyzing single-cell RNA-seq data
Reference-guided transcript discovery and quantification for long read R...