Next-generation DNA sequencing

By Jay Shendure, Hanlee P. Ji. Nature Biotechnology, 2008

4,568 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4269f09af992baa178f79656ad5b5d3557d9c2b4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives (2013, background): “, and Life Technologies, have increased read generation throughput and base-calling accuracy unprecedentedly, enabling the sequencing of a whole human genome at a much lower cost and a faster turnaround time [12].”
Applications of Deep Learning and Reinforcement Learning to Biological Data (2017, background): “Novel tools for DNA sequencing [4], gene expression [5], bioimaging [6], neuroimaging [7], and brain-machine interfaces [8] are now available to the scientific community.”
Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data (2011, background): “An explosion in the type, not just number, of sequencing experiments has also taken place including genome re-sequencing, population-scale variation detection, whole transcriptome sequencing and genome-wide analysis of protein-bound nucleic acids.”
DnaSP v5: a software for comprehensive analysis of DNA polymorphism data (2009, background): “Consequently, many high-throughput sequencing, genotyping and polymorphism detection systems have been developed and are currently publicly available (Shendure and Ji, 2008).”
From RNA-seq reads to differential expression results (2010, methodology): “Most RNA-seq experiments take a sample of purified RNA, shear it, convert it to cDNA and sequence on a highthroughput platform, such as the Illumina GA/ HiSeq, SOLiD or Roche 454 [16].”
Discovery and resupply of pharmacologically active plant-derived natural products: A review (2015, background): “This task might be within reach, considering the revolutionary progresses sequencing techniques are currently facing (Shendure and Ji, 2008).”
Gene Mapping via Bulked Segregant RNA-Seq (BSR-Seq) (2012, background): “Adaptations of NGS technologies are proving to be superior to alternative technologies for genome-wide measurements of mRNA, small RNAs, transcription-factor binding sites, DNA methylation, chromatin structure and structural variation [1,2,6,7].”
Directed Polymerase Evolution (2013, methodology): “Other applications include cloning [2], next generation sequencing by synthesis [3], the diagnosis of genetic”
A Proposed Genus Boundary for the Prokaryotes Based on Genomic Insights (2014, background): “With the rapid development and low cost of prokaryotic genome sequencing, the amount of whole-genome data in databases is increasing quickly (11).”
Next-Generation Sequencing — An Overview of the History, Tools, and “Omic” Applications (2016, methodology): “com) purchased the Solexa Genome Analyzer in 2006 and commercialized it in 2007 [66, 67].”
Importance of Genetic Diversity Assessment in Crop Plants and Its Recent Advances: An Overview of Its Analytical Perspectives (2015, background): “The third and most widely used genetic marker type is molecularmarkers, comprising a large variety ofDNAmolecular markers, which can be employed for analysis of genetic and molecular variation.”