Unbiased Single-Cell Transcriptomic Data Cell Type Identification R package clustermole version 1.1.1 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq) clusters is often a time-consuming process that involves manual inspection of the cluster marker genes complemented with a detailed literature search. This is especially challenging when unexpected or poorly described populations are present. The clustermole R package provides methods to query thousands of human and mouse cell identity markers sourced from a variety of databases. Software Depends: R (>= 4.3) Imports: dplyr, GSEABase, GSVA (>= 1.50.0), magrittr, methods, rlang, singscore, tibble, tidyr, utils Suggests: covr, knitr, rmarkdown, roxygen2, testthat Igor Dolgalev <igor.dolgalev@nyumc.org> Comprehensive R Archive Network (CRAN) Igor Dolgalev [aut, cre] (ORCID: <https://orcid.org/0000-0003-4451-126X>) MIT + file LICENSE (https://CRAN.R-project.org/package=clustermole/LICENSE) 2024-01-08 application/tgz https://CRAN.R-project.org/package=clustermole doi:10.32614/CRAN.package.clustermole