BFF and cellhashR: analysis tools for accurate demultiplexing of cell hashing data.

ABSTRACT:

Motivation

Single-cell sequencing methods provide previously impossible resolution into the transcriptome of individual cells. Cell hashing reduces single-cell sequencing costs by increasing capacity on droplet-based platforms. Cell hashing methods rely on demultiplexing algorithms to accurately classify droplets; however, assumptions underlying these algorithms limit accuracy of demultiplexing, ultimately impacting the quality of single-cell sequencing analyses.

Results

We present Bimodal Flexible Fitting (BFF) demultiplexing algorithms BFFcluster and BFFraw, a novel class of algorithms that rely on the single inviolable assumption that barcode count distributions are bimodal. We integrated these and other algorithms into cellhashR, a new R package that provides integrated

SUBMITTER: Boggy GJ 

PROVIDER: S-EPMC9113275 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature