BACKGROUND: Single-cell technologies allow detailed mapping of cell type-specific regulatory and transcriptomic landscapes, yet a systematic way to quantify cell type specificity of chromatin accessibility and gene expression remains limited. SPICEY (SPecificity Index for Coding and Epigenetic activitY) is an R package that measures cell-type specificity from single cell multi-omic data. RESULTS: We developed SPICEY, an R package that combines differential and entropy-based metrics to measure cell-type specificity from annotated single-cell accessibility and gene expression data. It computes two indices: RETSI (Regulatory Element cell Type Specificity Index) for chromatin accessibility and GETSI (Gene Expression cell Type Specificity Index) for gene expression. When links between distal chromatin regions and target genes are provided, SPICEY integrates regulatory and transcriptional specificity scores. CONCLUSIONS: Applied to human pancreatic islet data, SPICEY identified cell-type-specific gene-regulatory pairs and regulatory features enriched in endocrine cells -including beta cells- providing a framework to dissect cell-type-specific regulatory mechanisms in health and disease.

MOTIVATION: UMI-4C, a technique that combines chromosome conformation capture (4C) and unique molecular identifiers (UMI), is widely used to profile and quantitatively compare targeted chromosomal contact profiles. The analysis of UMI-4C experiments presents several computational challenges, including the removal of the PCR duplication bias and the identification of differential chromatin contacts. RESULTS: We have developed UMI4Cats (UMI-4C Analysis Turned Simple), an R package that facilitates processing, analyzing and visualizing of data obtained by UMI-4C experiments. AVAILABILITY AND IMPLEMENTATION: UMI4Cats is implemented as an R package supported on Linux, MacOS and MS Windows. UMI4Cats is available from Bioconductor (https://www.bioconductor.org/packages/release/bioc/html/UMI4Cats.html) and GitHub (https://github.com/Pasquali-lab/UMI4Cats). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.