A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
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Updated
Dec 23, 2024 - Python
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
Differential expression analysis for single-cell RNA-seq data.
Brings bulk and pseudobulk transcriptomics to the tidyverse
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
integrated RNA-seq Analysis Pipeline
Porting DESeq2 into python via rpy2
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.
R package for pathway analysis in scRNA-seq data
Compare different differential abundance and expression methods
Explore and share your scRNAseq clustering results
Experimental design framework for scRNAseq population studies (eQTL and DE)
Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
An R package to plot interactive three-way differential expression analysis
UNDER DEVELOPMENT--- Analysis of long non-coding RNAs from RNA-seq datasets
Interactive Differential Expression AnaLysis - DE made accessible and reproducible
pseudobulking on an AnnData object
Differential analysis of multi-omics data based on the Tweedie distribution
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