Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105316
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Title: Targeted sequencing approach and its clinical applications for the molecular diagnosis of human diseases
Authors: Pei, XM 
Yeung, MHY 
Wong, ANN 
Tsang, HF 
Yu, ACS
Yim, AKY
Wong, SCC 
Issue Date: Feb-2023
Source: Cells, Feb. 2023, v. 12, no. 3, 493
Abstract: The outbreak of COVID-19 has positively impacted the NGS market recently. Targeted sequencing (TS) has become an important routine technique in both clinical and research settings, with advantages including high confidence and accuracy, a reasonable turnaround time, relatively low cost, and fewer data burdens with the level of bioinformatics or computational demand. Since there are no clear consensus guidelines on the wide range of next-generation sequencing (NGS) platforms and techniques, there is a vital need for researchers and clinicians to develop efficient approaches, especially for the molecular diagnosis of diseases in the emergency of the disease and the global pandemic outbreak of COVID-19. In this review, we aim to summarize different methods of TS, demonstrate parameters for TS assay designs, illustrate different TS panels, discuss their limitations, and present the challenges of TS concerning their clinical application for the molecular diagnosis of human diseases.
Keywords: Bacteria identification
Cancer marker detection
COVID-19 detection
Molecular diagnosis
Next-generation sequencing
Targeted sequencing
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Cells 
EISSN: 2073-4409
DOI: 10.3390/cells12030493
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Pei XM, Yeung MHY, Wong ANN, Tsang HF, Yu ACS, Yim AKY, Wong SCC. Targeted Sequencing Approach and Its Clinical Applications for the Molecular Diagnosis of Human Diseases. Cells. 2023; 12(3):493 is available at https://doi.org/10.3390/cells12030493.
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