TY  - JOUR
T1  - Bioinformatics analysis methods for cell-free DNA
AU  - Chen, Yaojia
AU  - Gong, Yuxin
AU  - Dou, Lijun
AU  - Zhou, Xun
AU  - Zhang, Ying
JO  - Computers in Biology and Medicine
VL  - 143
SP  - 105283
PY  - 2022
DA  - 2022/04/01/
SN  - 0010-4825
DO  - https://doi.org/10.1016/j.compbiomed.2022.105283
UR  - https://www.sciencedirect.com/science/article/pii/S0010482522000750
KW  - Cell-free DNA
KW  - Identification of cfDNA
KW  - Methylation
KW  - cfDNA related diseases
AB  - As a kind of novel non-invasive marker for molecular detection, cell-free DNA (cfDNA) has potential value for the early diagnosis of diseases, prognosis assessment, and efficacy monitoring. The constant developments in molecular biology detection technologies have led to an increase in clinical studies on the use of cfDNA detection methods for patients, and many gratifying outcomes have been achieved. In this review, the contributions of bioinformatics tools to the study of cfDNA are well discussed. The focus of the review is on cfDNA identification signals, cfDNA identification methods, and the relationship of cfDNA with human diseases such as hepatic cancer, lung cancer, end-stage kidney disease, and ischemic stroke. The research significance and existing problems of using cfDNA as a biomarker for diseases are also discussed.
ER  -