Next-generation DNA sequencing methods.

By Elaine R. Mardis. Annual review of genomics and human genetics (Print), 2008

2,428 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/497445bd1fa5533f1c94eff4172bf0c7605eb3d8

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Citations in the corpus

Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. (2012, background): “The recent advance of massively parallel sequencing technologies [1, 2] has transformed human genetic research.”
Nucleic acid-based approaches to investigate microbial-related cheese quality defects (2012, background): “Therefore, each cluster is sequenced by the color associated with the nucleotide added (Mardis, 2008; Morozova and Marra, 2008; Zhang et al., 2011).”
Genome-wide responses to drought in forest trees (2011, background): “The next-generation high-throughput (HTP) sequencing technologies offer more opportunities to ask other, more complex, biological questions (Mardis, 2008).”
The development of the gut microbiota in rainbow trout (Oncorhynchus mykiss) is affected by first feeding and diet type (2014, background): “In recent years advanced next-generation sequencing techniques of bacterial DNA have enabled high-throughput sequencing of entire microbial communities (Mardis, 2008).”
Field guide to next‐generation DNA sequencers (2011, background): “I assume, however, that readers who are not familiar with these systems are learning details by: reading relevant publications (e.g. Mardis 2008; Shendure & Ji 2008; Ansorge 2009; Richardson 2010; Tautz et al. 2010), reading information at company and independent websites and talking with staff of…”
Microbial Biodiversity and Bioremediation Assessment Through Omics Approaches (2020, methodology): “The cycle is continued till every base is sequenced two times which enhances the accuracy of this platform (Shendure et al., 2005; Mardis, 2008; Meena et al., 2017c) (Figure 4).”
The Neuroscience of Intelligence (2016, methodology): “The technologies and methods of DNA analyses used in molecular genetics are diverse, complex, and evolving at a rapid pace (Mardis, 2008).”
Generations of Sequencing Technologies: From First to Next Generation (2017, methodology): “By detecting the light emission after each incorporation of nucleotide, the sequence of the DNA fragment is deduced (Figure 2C) [15].”
Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD Tags (2010, background): “. With technological advances, such as Next Generation Sequencing (NGS)”
Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community (2019, background): “Over the past decade technological advancements in next-generation DNA sequencing [13], SNP-chip profiling [14], transcriptome measurements via RNA-seq [15], SWATH-based proteomics [16], and metabolomics via UPLC-MS and GC-MS techniques [17,18] have greatly increased the ease, and significantly redu”
The Sequence Alignment/Map format and SAMtools (2009, methodology): “Illumina/Solexa, AB/SOLiD and Roche/454 (Mardis, 2008), a variety of new alignment tools (Langmead et al ., 2009; Li et al ., 2008) have been designed to realize efﬁcient read mapping against generate alignments in different formats, however, complicating downstream processing.”
The impact of next-generation sequencing on genomics (2011, background): “More detailed technical description of these platforms are available elsewhere (Mardis, 2008a,b, 2009; Schuster, 2008; Shendure and Ji, 2008; Ansorge, 2009; Harismendy et al., 2009; Tucker et al., 2009; Voelkerding et al., 2009; Metzker, 2010; Ng and Kirkness, 2010).”
Non‐coding RNAs: regulators of disease (2010, background): “This will undoubtedly be facilitated by recent advancements in massively parallel sequencing technologies [203,204], which allow rapid and sensitive profiling of both long and short ncRNAs, and will almost certainly make personal genomics a reality in the next 5 years”