Evidence map›Paper›PMID 41886314›Full record

ArticleBioinformatics (Oxford, England)2026

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

Killian Maudet, Juliette Samaniego, Yoann Pradat, Elsa Bernard

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Killian MaudetUniversité Paris-Saclay, Gustave Roussy, Inserm UMR 1361 Cancer Data Science, IHU PRISM National PRecISion Medicine Center in Oncology, Villejuif, F-94805, France.ORCID 0009-0003-3237-092X
Juliette SamaniegoUniversité Paris-Saclay, Gustave Roussy, Inserm UMR 1361 Cancer Data Science, IHU PRISM National PRecISion Medicine Center in Oncology, Villejuif, F-94805, France.ORCID 0009-0002-3421-1810
Yoann PradatUniversité Paris-Saclay, Gustave Roussy, Inserm UMR 1361 Cancer Data Science, IHU PRISM National PRecISion Medicine Center in Oncology, Villejuif, F-94805, France.ORCID 0000-0002-4647-5779
Elsa BernardUniversité Paris-Saclay, Gustave Roussy, Inserm UMR 1361 Cancer Data Science, IHU PRISM National PRecISion Medicine Center in Oncology, Villejuif, F-94805, France.ORCID 0000-0002-2057-7187

Funding

ARC Foundation Fellowship programEdward P. Evans FoundationFrance 2030 program and the French National Research Agency (ANR) ANR-23-IAHU-0002Gustave Roussy FoundationINSERM ATIP-Avenir ProgramPrism-National Precision Medicine Center in OncologyQube Research & Technologies Foundation
6 · The paper itself

Abstract

summaryLiquid 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, https://anaconda.org/elsab-lab/r-fragmentomics and https://bioconductor.org/packages/fRagmentomics, with documentation and a tutorial. CONTACT: yoann.pradat@gustaveroussy.fr, elsa.bernard@gustaveroussy.fr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Cell-Free Nucleic AcidsMutationSoftwareGenomicsHumansLiquid BiopsySequence Analysis, DNACell-Free Nucleic Acids

Identifiers

PMID41886314
PMCPMC13070676

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.