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Updated: Apr 12, 2026

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Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients
Published on: September 9, 2020
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Bioinformatics analysis of circulating cell-free DNA sequencing data
Landon L Chan1, Peiyong Jiang1
1Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China.
Clinical Biochemistry
|May 14, 2015
Summary
Cell-free DNA in plasma offers new noninvasive diagnostic tools. Bioinformatics algorithms are crucial for analyzing this sequencing data in prenatal diagnosis and cancer management.
Area of Science:
- Biochemistry
- Genomics
- Bioinformatics
Background:
- Cell-free DNA (cfDNA) in plasma is a valuable biomarker for disease detection and management.
- Next-generation sequencing (NGS) enables genome-wide analysis of cfDNA at single-base resolution.
- NGS advancements drive clinical applications in noninvasive prenatal diagnosis and cancer monitoring.
Purpose of the Study:
- To review major bioinformatics algorithms for analyzing cfDNA sequencing data.
- To outline bioinformatics approaches for cfDNA analysis in clinical settings.
- To discuss future directions in cfDNA bioinformatics for noninvasive diagnostics.
Main Methods:
- Overview of cfDNA biological properties and general bioinformatics workflows.
- Detailed discussion of upstream and downstream bioinformatics for cfDNA analysis.
- Exploration of bioinformatics for massively parallel bisulfite sequencing of cfDNA.
Main Results:
- Identification of key bioinformatics algorithms for cfDNA sequencing data.
- Elaboration on bioinformatics applications in noninvasive prenatal diagnosis and cancer management.
- Discussion of bioinformatics for cfDNA methylation analysis.
Conclusions:
- Bioinformatics is essential for interpreting large cfDNA sequencing datasets.
- cfDNA analysis via NGS and bioinformatics is revolutionizing personalized medicine.
- Future bioinformatics development will further enhance noninvasive diagnostic capabilities.

