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While several tools exist to detect and remove low-quality cells in one single cell RNA-seq dataset, there is lack of approach to examining consistency between sample sets and detecting systematic biases ... variations. scRNABatchQC helps identify and systematically characterize sources of variability in single cell transcriptome data. ... It will greatly improve quality control and reproducibility analysis for single-cell RNA sequencing. 2 Implementation scRNABatchQC is written in R. ...doi:10.1093/bioinformatics/btz601 pmid:31373345 pmcid:PMC6954654 fatcat:dga4ihz4ovd4xge2hokqgwbgne