README.md

In clustermole: Unbiased Single-Cell Transcriptomic Data Cell Type Identification

clustermole: exploratory scRNA-seq cell type analysis

Overview

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 can be 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.

The clustermole package provides three primary features:

• a database of markers for thousands of cell types
• cell type prediction based on marker genes
• cell type prediction based on the full expression matrix

Check the documentation website for more information.

Image credit: "A Child's Primer Of Natural History" by Oliver Herford

clustermole documentation built on Jan. 26, 2021, 9:05 a.m.