Brings bulk and pseudobulk transcriptomics to the tidyverse
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Updated
Nov 21, 2024 - R
Brings bulk and pseudobulk transcriptomics to the tidyverse
integrated RNA-seq Analysis Pipeline
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)
Interactive Differential Expression AnaLysis - DE made accessible and reproducible
Differential analysis of multi-omics data based on the Tweedie distribution
Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap
Create a cromphensive report of DEG list coming from any analysis of RNAseq data
ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps
command line bioinformatic scripts written in R
Make rapid visualizations of RNA-seq data in R
A comprehensive R package for label-free proteomics data analysis and modeling
The R package scCODE, a platform for data-specific DE gene detection for scRNA-seq data
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
MAAPster is a comprehensive tool to perform transcriptome analysis of human or mouse Affymetrix gene expression data
Bacterial Epigenomics Analysis SuiTe
Collection of R-apps for VisR software
Interactive Shiny application for tidyproteomics
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