What is CellBender?

CellBender is a software package for eliminating technical artifacts from high-throughput single-cell omics data, including scRNA-seq, snRNA-seq, and CITE-seq.

Scope and Purpose

Despite the recent progress in improving, optimizing and standardizing droplet-based single-cell omics protocols like scRNA-seq, the complexity of these experiments leaves room for systematic biases and background noise in the raw observations. These nuisances can be traced back to undesirable enzymatic processes that produce spurious library fragments, contamination by exogenous or endogenous ambient transcripts, impurity of barcode beads, and barcode swapping during amplification and/or sequencing.

The main purpose of CellBender is to take raw gene-by-cell count matrices and molecule-level information produced by 3rd party pipelines (e.g. CellRanger, Alevin, DropSeq, StarSolo, etc.), to model and remove systematic biases and background noise, and to produce improved estimates of gene expression.

As such, CellBender relies on an external tool for primary processing of the raw data obtained from the sequencer (e.g. BCL or FASTQ files). These basic processing steps lie outside of the scope of CellBender and include (pseudo-)alignment and annotation of reads, barcode error correction, and generation of raw gene-by-cell count matrices. Upcoming modules of CellBender will further utilize molecule-level information (e.g. observed reads per molecule, transcript equivalence classes, etc.).

Modules

The current version of CellBender contains the following modules. More modules will be added in the future:

• remove-background: This module removes counts due to ambient RNA molecules and random barcode swapping from (raw) UMI-based scRNA-seq gene-by-cell count matrices. Several file formats for count matrices are supported. A quick-start tutorial can be found here.