A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data.

Wang, H., Mennea, P.D., Chan, Y.K.E., Cheng, Z., Neofytou, M.C., Surani, A.A., Vijayaraghavan, A., Ditter, E.J., Bowers, R., Eldridge, M.D., Shcherbo, D.S., Smith, C.G., Markowetz, F., Cooper, W.N., Kaplan, T., Rosenfeld, N. and Zhao, H. 2025. A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data. Genome Biology. 26 141. https://doi.org/10.1186/s13059-025-03607-5

TitleA standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data.
TypeJournal article
AuthorsWang, H., Mennea, P.D., Chan, Y.K.E., Cheng, Z., Neofytou, M.C., Surani, A.A., Vijayaraghavan, A., Ditter, E.J., Bowers, R., Eldridge, M.D., Shcherbo, D.S., Smith, C.G., Markowetz, F., Cooper, W.N., Kaplan, T., Rosenfeld, N. and Zhao, H.
Abstract

Fragmentomics features of cell-free DNA represent promising non-invasive biomarkers for cancer diagnosis. A lack of systematic evaluation of biases in feature quantification hinders the adoption of such applications. We compare features derived from whole-genome sequencing of ten healthy donors using nine library kits and ten data-processing routes and validated in 1182 plasma samples from published studies. Our results clarify the variations from library preparation and feature quantification methods. We design the Trim Align Pipeline and cfDNAPro R package as unified interfaces for data pre-processing, feature extraction, and visualization to standardize multi-modal feature engineering and integration for machine learning.

Article number141
JournalGenome Biology
Journal citation26
ISSN1474-760X
Year2025
PublisherSpringer Nature
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1186/s13059-025-03607-5
PubMed ID40410787
Web address (URL)https://europepmc.org/articles/PMC12100915
Publication dates
Published23 May 2025

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