# DNAvi: integration, statistics, and visualization of cell-free DNA fragment traces

**Authors:** Anja Hess, Dominik Seelow, Helene Kretzmer

PMC · DOI: 10.1093/bioinformatics/btag041 · Bioinformatics · 2026-01-29

## TL;DR

DNAvi is a Python tool that quickly analyzes and visualizes cell-free DNA fragments from electrophoresis data, avoiding the need for sequencing.

## Contribution

DNAvi introduces a rapid, Python-based solution for analyzing and visualizing cell-free DNA fragment size profiles without sequencing.

## Key findings

- DNAvi enables normalization and statistical comparison of multiple cell-free DNA samples.
- The tool supports publication-ready plotting and quality control for fragmentomic screenings.

## Abstract

DNAvi is a Python-based tool for rapid grouped analysis and visualization of cell-free DNA fragment size profiles directly from electrophoresis data, overcoming the need for sequencing in basic fragmentomic screenings. It enables normalization, statistical comparison, and publication-ready plotting of multiple samples, supporting quality control and exploratory fragmentomics in clinical and research workflows.

DNAvi is implemented in Python and freely available on GitHub at https://github.com/anjahess/DNAvi under a GNU General Public License v3.0, along with source code, documentation, and examples. An archived version is available under https://doi.org/10.5281/zenodo.18401705.

## Full-text entities

- **Diseases:** lung cancer (MESH:D008175), cancer (MESH:D009369), neuroblastoma (MESH:D009447)
- **Chemicals:** DNAvi (-), agarose (MESH:D012685)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** T790M

## Full text

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## Figures

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## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12904835/full.md

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Source: https://tomesphere.com/paper/PMC12904835