A decade’s perspective on DNA sequencing technology

By Elaine R. Mardis. Nature, 2011

939 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/9bb910631a8e126401cde7c2919d2f9966259126

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Citations in the corpus

Next-generation sequencing platforms. (2013, methodology): “GENERAL PRINCIPLES OF NEXT-GENERATION SEQUENCING Beginning in 2005, the traditional Sanger-based approach to DNA sequencing has experienced revolutionary changes (19, 20).”
JAK and STAT signaling molecules in immunoregulation and immune-mediated disease. (2012, background): “The field has moved rapidly from candidate gene to genome-wide investigation of single-nucleotide polymorphisms (SNPs), and systematic interrogation of the entire genome through next-generation sequencing is also now feasible (Mardis, 2011).”
Extracting research-quality phenotypes from electronic health records to support precision medicine (2015, background): “As genotyping and sequencing costs have significantly decreased [18-20] and computing power has increased, the lack of large cohorts with adequately defined phenotypes has hindered discovery of genetic factors”
Ultrafast clustering algorithms for metagenomic sequence analysis (2012, background): “cing (NGS) technologies [6], such as 454, Illumina,”
Applications of next-generation sequencing to the study of biological invasions (2015, background): “NGS is nowadays broadly accessible and allows questions to be answered that were previously prohibitively expensive or impractical (Mardis, 2011).”
Nucleic acid-based approaches to investigate microbial-related cheese quality defects (2012, methodology): “This process is termed paired end sequencing (Mardis, 2008, 2011).”
Next-Generation Sequencing — An Overview of the History, Tools, and “Omic” Applications (2016, methodology): “The NGS technologies are different from the Sanger method in that they provide massively parallel analysis, extremely high-throughput from multiple samples at much reduced cost [3].”
Generations of Sequencing Technologies: From First to Next Generation (2017, background): “NGS technologies produce a massively parallel analysis with a highthroughput from multiple samples at much reduced cost [8].”
Sequencing technologies and genome sequencing (2011, background): “Figure 3 illustrates how the resulting HT-NGS information has both enhanced our knowledge and expanded the impact of the genome on biomedical research (Mardis 2011).”
Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases (2017, background): “We refer the reader to other publications on this topic which summarize common terms and approaches used in DNA sequence analysis [10], the different NGS technologies [11-13], the various NGS methods, bioinformatics tools [14] and clinical applications [10, 15].”
Climate change, genetic markers and species distribution modelling (2015, neutral): “technological advances in high-throughput sequencing (Mardis, 2011) can be combined with traditional field surveys to build new SDMs that incorporate genetic variation within a”
MuSiC: Identifying mutational significance in cancer genomes (2012, background): “whereMi, Ci, Ri, k, and L() are referred to as the same as in the LRT method. Getz et al. (2007) proposed that the P-value for a gene can be calculated by taking one minus a left-tail probability, i.”