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Published on: April 11, 2016
Innovations in Short-Read Sequencing Technologies and Their Applications to Clinical Genomics
Katarzyna Polonis1, Joseph H Blommel2, Andrew E O Hughes1
1Division of Genomic and Molecular Pathology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States.
Background:
Massively parallel sequencing (MPS) of nucleic acids has been a transformative technology for basic and applied genomic science, increasing efficiencies and decreasing costs to enable studies of unprecedented scope and impact. In clinical settings, these technological and scientific advances have led to the development of tests that are increasingly fast, comprehensive, and more frequently employed. Practitioners of genomic medicine have applied these tools across clinical settings, including diagnosis of inherited disorders and cancers and infectious disease detection and surveillance. In recent years, the commercial marketplace for MPS sequencers and reagents has been dominated by a few companies. The growing demand for sequencing has led to the recent emergence of several new sequencing platforms with techniques that may provide alternatives or improvements to existing workflows or allow the adoption of sequencing workflows in new settings. Clinical genomics laboratories will evaluate these platforms from a unique perspective, focusing on how technological advancements can improve patient care.
Content:
This review describes short-read sequencing platforms provided by Illumina, Element Biosciences, MGI, PacBio, Singular Genomics, Thermo Fisher Scientific, and Ultima Genomics. This review discusses their innovative approaches, principles, workflows, and applications.
Summary:
This review aims to inform laboratory geneticists, clinicians, and researchers about emerging short-read technologies and their applications in clinical genomics. By highlighting their principles and potential contributions, we aim to assist laboratories in selecting suitable solutions for their sequencing needs considering key factors such as applications, throughput, and integration with existing laboratory workflows.
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