NicheNet: predict active ligand-target links between interacting cells
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Updated
May 30, 2024 - R
NicheNet: predict active ligand-target links between interacting cells
A repository for setting up a RNAseq workflow
Table of software for the analysis of single-cell RNA-seq data.
zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Color blindness friendly visualization of single-cell and bulk RNA-sequencing data
Reference-guided transcript discovery and quantification for long read RNA-Seq data
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
Visual self-service analytics platform for big omics data.
Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets
Statistical Analysis of RNA-Seq Tools
integrated RNA-seq Analysis Pipeline
Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.
SIB course on single cell transcriptomics by mostly using the Seurat pipeline
Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)
π π π―π¨π₯π effortlessly translates differential expression datasets and RNAseq data into informative volcano plots. Highlight genes of interest with unprecedented ease. With just a single line of code, visualize complex datasets, gaining deeper insights and simplifying data representation
Transcriptomics Visualization R package.
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