umis

umis corrects PCR amplification bias in single-cell RNA sequencing (scRNA-seq) by using unique molecular identifiers (UMIs) to enable accurate counting of original RNA molecules.

Key Features:

• Unique Molecular Identifiers (UMIs): Tags individual RNA molecules with UMIs to enable counting of original molecules and correction for PCR amplification bias.
• Protocol Comparison Framework: Standardizes data processing to enable comparative assessment of sensitivity and accuracy across scRNA-seq protocols.
• Data Processing Flexibility: Provides a flexible workflow for counting UMIs across different datasets and experimental setups.
• Experimental and Computational Assessments: Applied in computational comparisons of 15 protocols and in experimental evaluations of four batch-matched cell populations.
• Spike-in Standards: Incorporates spike-in standards as benchmarks to evaluate protocol sensitivity and accuracy.
• Investigation of Molecular Degradation Effects: Supports analysis of how molecular degradation impacts gene expression measurements across protocols.

Scientific Applications:

• Cell Type Discovery: UMI-based quantification supports identification of novel cell types and assessment of cellular heterogeneity in scRNA-seq datasets.
• Developmental Biology Insights: Precise gene expression measurements enable study of developmental processes and transcriptional dynamics.
• Transcriptional Stochasticity Analysis: Correction of amplification bias allows investigation of stochastic gene expression at single-cell resolution.

Methodology:

Counts UMIs to deduplicate PCR-amplified reads and correct amplification bias, standardizes data processing across datasets, and was used for computational comparisons of 15 scRNA-seq protocols.