Ontology highlight
ABSTRACT:
SUBMITTER: Townes FW
PROVIDER: S-EPMC7333325 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Townes F William FW Irizarry Rafael A RA
Genome biology 20200703 1
Single-cell RNA-seq (scRNA-seq) profiles gene expression of individual cells. Unique molecular identifiers (UMIs) remove duplicates in read counts resulting from polymerase chain reaction, a major source of noise. For scRNA-seq data lacking UMIs, we propose quasi-UMIs: quantile normalization of read counts to a compound Poisson distribution empirically derived from UMI datasets. When applied to ground-truth datasets having both reads and UMIs, quasi-UMI normalization has higher accuracy than com ...[more]