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Juliette Samaniego

dblp:434/2465 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0002-3421-1810ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 77% Bioinformatics and computational biology · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › clinical diagnosis › molecular diagnostics
liquid biopsy
1.012026
fRagmentomics : an R package for integrating cell-free DNA fragment features with mutational status to support liquid biopsy interpretation · Bioinform. 2026
Bioinformatics and computational biology › cancer genomics
circulating tumor DNA analysis
0.312026
fRagmentomics : an R package for integrating cell-free DNA fragment features with mutational status to support liquid biopsy interpretation · Bioinform. 2026

Methods — techniques the papers use, named apart from their topics

soft-clip-preserving computation · 1.0indel-aware fragment size computation · 1.0
YearPublicationVenuePosition
2026 fRagmentomics : an R package for integrating cell-free DNA fragment features with mutational status to support liquid biopsy interpretation
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, https://anaconda.org/elsab-lab/r-fragmentomics and https://bioconductor.org/packages/fRagmentomics, with documentation and a tutorial. CONTACT: [email protected], [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Killian Maudet, Juliette Samaniego, Yoann Pradat, Elsa Bernard
Bioinform.2