A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
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Updated
Nov 25, 2024 - Python
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Differential expression analysis for single-cell RNA-seq 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.
Porting DESeq2 into python via rpy2
A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.
Fit generalized linear models in python.
pseudobulking on an AnnData object
Interactive visualizations for differential expression
A robust model for quantitative comparison of ChIP-Seq data sets.
Discrete Distributional Differential Expression
Causal inference, differential expression, and co-expression for scRNA-seq
Curare - A customizable and reproducible analysis pipeline for RNA-Seq experiments
Provided tool will add explicit 3'UTR and extends it into a valid Ensembl GTF file. It's useful for 3'RNAseq when 3' coordinates might not be as good as you expect.
NASA GeneLab Open API
Differential analysis of targeted Isotope-labeled Metabolomics data
Transcriptiome Analysis in Python Imported from R
Analysis pipeline for bulk RNA-seq data
Testing, development environment for a new project of KN BIBS
Perform differential analysis from FastQ files with Salmon, tximport, and DESeq2
Differential expression across the genome
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