BIRD: identifying cell doublets via biallelic expression from single cells.

ABSTRACT:

Summary

Current technologies for single-cell transcriptomics allow thousands of cells to be analyzed in a single experiment. The increased scale of these methods raises the risk of cell doublets contamination. Available tools and algorithms for identifying doublets and estimating their occurrence in single-cell experimental data focus on doublets of different species, cell types or individuals. In this study, we analyze transcriptomic data from single cells having an identical genetic background. We claim that the ratio of monoallelic to biallelic expression provides a discriminating power toward doublets' identification. We present a pipeline called BIallelic Ratio for Doublets (BIRD) that relies on heterologous genetic variations, from single-cell RNA sequencing. For each dataset

SUBMITTER: Wainer-Katsir K 

PROVIDER: S-EPMC7355245 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature