DropletUtils

nf-core/scrnaseq — Nextflow pipeline for single-cell RNA-seq quantification and preprocessing. Supports multiple alignment/quantification methods including Cell Ranger, STARsolo, Alevin-fry (Salmon),

3 shared topics • 2 shared operations

CellBender removes ambient RNA contamination and technical noise from droplet-based single-cell RNA-seq data using a deep generative model (VAE). Processes raw 10x Genomics feature-barcode matrices to

3 shared topics • 1 shared operation

Use when working with EmptyDrops or DropletUtils — the Bioconductor R package for distinguishing real cells from empty droplets in droplet-based single-cell RNA-seq data (10x Genomics, Drop-seq, inDro

3 shared topics • 1 shared operation

Use when performing single-cell QTL (sc-eQTL, sc-sQTL) mapping with SAIGE-QTL. SAIGE-QTL extends the SAIGE framework to single-cell RNA-seq data using Poisson mixed models to handle count overdispersi

3 shared topics • 1 shared operation

salmon — Fast, bias-aware transcript quantification from RNA-seq data using selective alignment to the transcriptome. Supports bulk RNA-seq (mapping-based and alignment-based modes), single-cell RNA-s

3 shared topics • 1 shared operation