The Next-Generation Sequencing Revolution and Its Impact on Genomics
By Daniel C. Koboldt, Karyn Meltz Steinberg, David E. Larson, Richard K. Wilson, Elaine R. Mardis. Cell, 2013
978 citations recorded by the source corpus.
Genomics is a relatively new scientific discipline, having DNA sequencing as its core technology. As technology has improved the cost and scale of genome characterization over sequencing’s 40-year history, the scope of inquiry has commensurately broadened. Massively parallel sequencing has proven revolutionary, shifting the paradigm of genomics to address biological questions at a genome-wide scale. Sequencing now empowers clinical diagnostics and other aspects of medical care, including disease risk, therapeutic identification, and prenatal testing. This Review explores the current state of genomics in the massively parallel sequencing era.
Subfields: Cancer Research, Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3ed565d8161fd4db9518fa0c5045af5e88150d36
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Citations in the corpus
- Multigene Editing in the Escherichia coli Genome via the CRISPR-Cas9 System (2015, background): “Metabolic engineering is based on the cell system network in which simple gene engineering might result in unexpected phenotypes, and with the rapid development of genome sequencing technology (42), more sequenced genotypes need to be illustrated biologically.”
- Comparing and Evaluating Metagenome Assembly Tools from a Microbiologist’s Perspective - Not Only Size Matters! (2017, background): “With the advances of Next Generation Sequencing (NGS) techniques [14,15], the costs for high sequencing depths were significantly reduced (S1 Table) and cloning steps became obsolete.”
- Big Data Analytics in Healthcare (2015, background): “…sequencing methods has enabled researchers to study genetic markers over a wide range of population [22, 128], improve efficiency by more than five orders of magnitude since sequencing of the human genome was completed [129], and associate genetic causes of the phenotype in disease states [130].”
- Next-Generation Sequencing — An Overview of the History, Tools, and “Omic” Applications (2016, methodology): “The impact of NGS on the diagnosis of rare genetic diseases is evidenced by the growth of the genes and OMIM database [49, 276] that has doubled in data since 2007 [274].”