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CRAG: De novo characterization of cell-free DNA fragmentation hotspots in plasma whole-genome sequencing

Authors: Zhou, Xionghui; Zheng, Haizi; Liu, Yaping;

CRAG: De novo characterization of cell-free DNA fragmentation hotspots in plasma whole-genome sequencing

Abstract

Supplementary dataset for the manuscript: CRAG: De novo characterization of cell-free DNA fragmentation hotspots in plasma whole-genome sequencing Xionghui Zhou1,*, Haizi Zheng1,*, Hailu Fu1,*, Kelsey L. Dillehay McKillip2-3, Susan M. Pinney2,4, Yaping Liu1-2,5-7 # Affiliations: 1 Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 2 University of Cincinnati Cancer Center, Cincinnati, OH 45229 3 Department of Pathology & Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45229 4 Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH 45229 5 Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229 6 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229 7 Department of Electrical Engineering and Computing Sciences, University of Cincinnati College of Engineering and Applied Science, Cincinnati, OH 45229 * These authors contributed equally # Email: lyping1986@gmail.com

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Keywords

Cancer screening, Cell fRee dnA fraGmentation, CRAG, Cell-free DNA, Whole-genome sequencing, Cancer early detection, Fragmentation hotspot

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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45
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Cancer Research