Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
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Updated
May 8, 2023 - R
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Reference-guided transcript discovery and quantification for long read RNA-Seq data
R package for analyzing single-cell RNA-seq data
Brings bulk and pseudobulk transcriptomics to the tidyverse
Nanopore RNA-Seq data from the Singapore Nanopore-Expression Project
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
From geospatial to spatial -omics
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
R package for pathway analysis in scRNA-seq data
Multi-sample Unified Discriminant ANalysis
Transcriptomics Visualization R package.
Easily install and load packages from the tidyomcis ecosystem
COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.
Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
Inference of cell-cell communication from single-cell RNAseq data
Cell-type Relationship Analysis Workflow Done Across Distances
Isoform-level functional RNA-Seq analysis 🧬
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