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March 28, 2026Bioinformatics0 citationsOpen Access

fRagmentomics : an R package for integrating cell-free DNA fragment features with mutational status to support liquid biopsy interpretation

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KMKillian MaudetJSJuliette SamaniegoYPYoann Pradat

Key Points

  • The aim is to develop a user-friendly R package that characterizes cell-free DNA fragments in relation to mutations.
  • Developed an R package to process cell-free DNA data.
  • Characterizes fragments starting from aligned sequencing files.
  • Outputs features like fragment size, end-motifs, and associated mutations.
  • Supports multiple mutation formats and genomic conventions.
  • Provides improved accuracy for fragment size computation compared to conventional methods.
  • Outputs detailed fragment-level features for each mutation of interest.

Abstract

Abstract Summary Liquid biopsy offers a non-invasive approach to study tumor-derived genetic material circulating in plasma. Beyond genetic alterations, the fragmentomic features of cell-free DNA—such as fragment size, genomic position, and end-motifs—provide valuable insights into the biological and clinical context of DNA release. fRagmentomics is a user-friendly R package designed to characterize cfDNA fragments overlapping one or multiple small mutations of any type, starting from an aligned sequencing file (BAM). It supports multiple mutation input formats, accommodates one-based and zero-based genomic conventions, resolves mutation representation ambiguities, and accepts any reference file in FASTA format. For each fragment overlapping a mutation of interest, fRagmentomics outputs fragment-level features including its fragment size, end-motifs, and mutational status, along with additional fragment-level or read-level information. The package implements an indel-aware and optionally soft-clip-preserving fragment size computation that improves accuracy over conventional size estimates based solely on aligned positions. Availability and implementation fRagmentomics is licensed under GNU General Public License v3.0 and available at https://github.com/ElsaB-Lab/fRagmentomics and https://anaconda.org/elsab-lab/r-fragmentomics, with documentation and a tutorial. Supplementary information Supplementary data are available at Bioinformatics online.

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Cite This Study

Maudet et al. (2026) studied this question.

synapsesocial.com/papers/69c772818bbfbc51511e3035https://doi.org/10.1093/bioinformatics/btag152
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Circulating Cell-free DNA Fragmentomics Detection and Beyond2025
  2. 2Cell-free DNA fragmentomics in cancer2025 · 49 citations
  3. 3Abstract 108: Fragmentomics powers improved classification of somatic mutations in liquid biopsy.2026
  4. 4Fragmenting the future with FLARE: a comprehensive fragmentomics pipeline based on long-read nanopore sequencing2026 · 1 citations
  5. 5FinaleToolkit: Accelerating Cell-Free DNA Fragmentation Analysis with a High-Speed Computational Toolkit2025