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Updated: Sep 9, 2025

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scafari: exploring scDNA-seq data.

Sophie-Marie Wind1, Thea Reinkens2, Yvonne Lisa Behrens3

  • 1Institute of Medical Informatics, University of Muenster, 48149 Muenster, Germany.

Bioinformatics (Oxford, England)
|September 2, 2025
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Summary
This summary is machine-generated.

scafari is a new open-source tool for analyzing single-cell DNA sequencing data. It provides user-friendly quality control and variant analysis, addressing a gap in current bioinformatics software.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Single-cell sequencing allows for individual cell expression pattern analysis.
  • Single-cell DNA sequencing provides insights into a single cell's genome.
  • Limited open-source software exists for processing and quality analysis of single-cell DNA sequencing data.

Purpose of the Study:

  • To introduce scafari, a novel open-source software tool.
  • To provide user-friendly data quality control for single-cell DNA sequencing.
  • To enable explorative variant analyses and visualization of single-cell DNA sequencing data.

Main Methods:

  • scafari is implemented as an R Bioconductor package.
  • The tool features an integrated shiny application for interactive use.
  • It is available for download at https://bioconductor.org/packages/scafari.

Main Results:

  • scafari offers easy-to-use data quality control.
  • The software facilitates explorative variant analyses.
  • Visualization of single-cell DNA sequencing data is supported.

Conclusions:

  • scafari addresses the need for user-friendly open-source software in single-cell DNA sequencing analysis.
  • The tool enhances the accessibility of quality control and variant analysis for this data type.
  • scafari empowers researchers to gain deeper insights from single-cell genome data.