Mugen-UMAP: UMAP visualization and clustering of mutated genes in single-cell DNA sequencing data.

ABSTRACT:

Background

The application of Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction and visualization has revolutionized the analysis of single-cell RNA expression and population genetics. However, its potential in single-cell DNA sequencing data analysis, particularly for visualizing gene mutation information, has not been fully explored.

Results

We introduce Mugen-UMAP, a novel Python-based program that extends UMAP's utility to single-cell DNA sequencing data. This innovative tool provides a comprehensive pipeline for processing gene annotation files of single-cell somatic single-nucleotide variants and metadata to the visualization of UMAP projections for identifying clusters, along with various statistical analyses. Employing Mugen-UMAP, we a

SUBMITTER: Li T 

PROVIDER: S-EPMC11437917 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature