Sequencing technologies — the next generation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-01

AUTHORS

Michael L Metzker

ABSTRACT

Demand has never been greater for revolutionary technologies that deliver fast, inexpensive and accurate genome information. This challenge has catalysed the development of next-generation sequencing (NGS) technologies. The inexpensive production of large volumes of sequence data is the primary advantage over conventional methods. Here, I present a technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments. I also outline the broad range of applications for NGS technologies, in addition to providing guidelines for platform selection to address biological questions of interest. More... »

PAGES

31-46

References to SciGraph publications

  • 2008-05. Mapping and sequencing of structural variation from eight human genomes in NATURE
  • 2006-08. Highly parallel genomic assays in NATURE REVIEWS GENETICS
  • 2008-11-06. Personal genomes: Standard and pores in NATURE
  • 2009-01. RNA-Seq: a revolutionary tool for transcriptomics in NATURE REVIEWS GENETICS
  • 2009-08. A highly annotated whole-genome sequence of a Korean individual in NATURE
  • 2009-01. Sensitive, specific polymorphism discovery in bacteria using massively parallel sequencing in NATURE METHODS
  • 2008-11. Accurate whole human genome sequencing using reversible terminator chemistry in NATURE
  • 2009-10. ChIP–seq: advantages and challenges of a maturing technology in NATURE REVIEWS GENETICS
  • 2007-11. Multiplex amplification of large sets of human exons in NATURE METHODS
  • 2008-08. High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi in NATURE GENETICS
  • 2009-10-08. Direct RNA sequencing in NATURE
  • 2008-10. The potential and challenges of nanopore sequencing in NATURE BIOTECHNOLOGY
  • 2009-02. Sequencing in real time in NATURE BIOTECHNOLOGY
  • 2009-02. Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing in NATURE BIOTECHNOLOGY
  • 2005-09. Genome sequencing in microfabricated high-density picolitre reactors in NATURE
  • 2008-11. DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome in NATURE
  • 2008-11. The diploid genome sequence of an Asian individual in NATURE
  • 2009-09. Single-molecule sequencing of an individual human genome in NATURE BIOTECHNOLOGY
  • 2009-04. Human genetic variation and its contribution to complex traits in NATURE REVIEWS GENETICS
  • 2007-03. Mapping the Cancer Genome in SCIENTIFIC AMERICAN
  • 2009-08. Virtual terminator nucleotides for next-generation DNA sequencing in NATURE METHODS
  • 2007-11. Enrichment of super-sized resequencing targets from the human genome in NATURE METHODS
  • 2009-11. Microdroplet-based PCR enrichment for large-scale targeted sequencing in NATURE BIOTECHNOLOGY
  • 2009-03. Evaluation of next generation sequencing platforms for population targeted sequencing studies in GENOME BIOLOGY
  • 2008-01. Sequence census methods for functional genomics in NATURE METHODS
  • 2008-08. Alta-Cyclic: a self-optimizing base caller for next-generation sequencing in NATURE METHODS
  • 2008-02. Whole-genome sequencing and variant discovery in C. elegans in NATURE METHODS
  • 2006-11. Analysis of one million base pairs of Neanderthal DNA in NATURE
  • 2004-09. Detection of large-scale variation in the human genome in NATURE GENETICS
  • 2009-05. Massively parallel exon capture and library-free resequencing across 16 genomes in NATURE METHODS
  • 2005-07. Fine-scale structural variation of the human genome in NATURE GENETICS
  • 2008-10. Fixing the front end in NATURE BIOTECHNOLOGY
  • 2008-04-17. The complete genome of an individual by massively parallel DNA sequencing in NATURE
  • 2008-10. How to get genomes at one ten-thousandth the cost in NATURE BIOTECHNOLOGY
  • 2009-05. How to map billions of short reads onto genomes in NATURE BIOTECHNOLOGY
  • 2008-10. <i>Caenorhabditis elegans</i> mutant allele identification by whole-genome sequencing in NATURE METHODS
  • 2004-10. Finishing the euchromatic sequence of the human genome in NATURE
  • 1999-10. Maskless fabrication of light-directed oligonucleotide microarrays using a digital micromirror array in NATURE BIOTECHNOLOGY
  • 2007-11. Direct selection of human genomic loci by microarray hybridization in NATURE METHODS
  • 2007-11. Microarray-based genomic selection for high-throughput resequencing in NATURE METHODS
  • 2008-12. High quality draft sequences for prokaryotic genomes using a mix of new sequencing technologies in BMC GENOMICS
  • 2009-07. Quantification of the yeast transcriptome by single-molecule sequencing in NATURE BIOTECHNOLOGY
  • 2007-12. Genome-wide in situ exon capture for selective resequencing in NATURE GENETICS
  • Journal

    TITLE

    Nature Reviews Genetics

    ISSUE

    1

    VOLUME

    11

    Author Affiliations

    Related Patents

  • 3'-Oh Unblocked Nucleotides And Nucleosides Base Modified With Non-Cleavable, Terminating Groups And Methods For Their Use In Dna Sequencing
  • Gene Synthesis And Cell-Free Cloning Using Programmable Microfluidics
  • Methods And Compositions For Performing Analytical Operations
  • Sequencing Methods
  • Whole Transciptome Sequencing
  • Lipases, Polynucleotides Encoding Them And Their Uses
  • Bi-Directional Sequencing Compositions And Methods
  • Compositions And Methods For Accurately Identifying Mutations
  • Quantification Of Adaptive Immune Cell Genomes In A Complex Mixture Of Cells
  • Fluorescence Enhancing Plasmonic Nanoscopic Gold Films And Assays Based Thereon
  • Reducing Background Fluorescence In Mems Materials By Low Energy Ion Beam Treatment
  • Next Generation Sequencing Analysis System And Next Generation Sequencing Analysis Method Thereof
  • Method Of Identifying Musk Compounds
  • Monitoring Health And Disease Status Using Clonotype Profiles
  • Nanopore-Based Polymer Analysis With Mutually-Quenching Fluorescent Labels
  • Kif5b-Ret Fusion Molecules And Uses Thereof
  • Labelled Nucleotides
  • Single Cell Analysis By Polymerase Cycling Assembly
  • Compositions And Methods For Targeted Nucleic Acid Sequence Enrichment And High Efficiency Library Regeneration
  • Nanopore-Based Nucleic Acid Analysis With Mixed Fret Detection
  • Methods And Compositions For Nucleic Acid Sequencing
  • Diagnosis Of Lymphoid Malignancies And Minimal Residual Disease Detection
  • Disulfide-Linked Reversible Terminators
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Nucleic Acid Analysis Device
  • Methods For Amplification And Sequencing Using Thermostable Tthprimpol
  • Mutations In Calmodulin Genes
  • Methods And Compositions For Nucleic Acid Sequencing
  • A Nanopore Sensor And Method For Selective Detection Of Analytes In A Sample.
  • Synthesis Of Cleavable Fluorescent Nucleotides As Reversible Terminators For Dna Sequencing By Synthesis
  • Linear Valve Arrays
  • Nanopillar Arrays With Interfaces For Controlled Polymer Stretching And Effective Translocation Into Nanochannels
  • Labelled Nucleotides
  • Nucleic Acid Constructs And Methods Of Use
  • Continuous Extension And Deblocking In Reactions For Nucleic Acid Synthesis And Sequencing
  • Microrna Expression Markers For Crc Development
  • Fluorescence Enhancing Plasmonic Nanoscopic Gold Films And Assays Based Thereon
  • Dna Sequencing With Reagent Recycling On Wiregrid
  • Nucleic Acid Amplification Method
  • Methods And Systems For Multiplex Quantitative Nucleic Acid Amplification
  • Cloning Of Single-Stranded Rna
  • Single-Molecule Detection System And Methods
  • Compositions And Method For Measuring And Calibrating Amplification Bias In Multiplexed Pcr Reactions
  • Single Molecule Detection System And Methods
  • Real Time Microarrays
  • Compression Of Genomic Data
  • Methods For Minimizing Sequence Specific Bias
  • Massive Parallel Method For Decoding Dna And Rna
  • Method For Producing Circular Dna Formed From Single-Molecule Dna
  • Bi-Directional Sequencing Compositions And Methods
  • Sequencing Using Concatemers Of Copies Of Sense And Antisense Strands
  • Kif5b-Ret Fusion Molecules And Uses Thereof
  • Massive Parallel Method For Decoding Dna And Rna
  • Method For Producing Circular Dna Formed From Single-Molecule Dna
  • Efficient Optical Analysis Of Polymers Using Arrays Of Nanostructures
  • Method Of Measuring Adaptive Immunity
  • Microrna Combinations For Anti-Cancer Therapeutics
  • Analyte Enrichment Methods And Compositions
  • Methods Of Identifying, Isolating And Using Odorant And Aroma Receptors
  • Four-Color Dna Sequencing By Synthesis Using Cleavable Fluorescent Nucleotide Reversible Terminators
  • Modified Nucleotides
  • Quantification Of Adaptive Immune Cell Genomes In A Complex Mixture Of Cells
  • Ultrafast Sequencing Of Biological Polymers Using A Labeled Nanopore
  • Compositions And Methods For Negative Selection Of Non-Desired Nucleic Acid Sequences
  • Compositions And Methods For Targeted Nucleic Acid Sequence Enrichment And High Efficiency Library Generation
  • Active-Electrode Integrated Biosensor Array And Methods For Use Thereof
  • Method For Detecting Cystic Fibrosis
  • Determining Antigen-Specific T-Cells
  • Determining Paired Immune Receptor Chains From Frequency Matched Subunits
  • Methods And Systems For Obtaining A Single Molecule Consensus Sequence
  • Massive Parallel Method For Decoding Dna And Rna
  • Tamm Structures For Enhanced Fluorescence Based Sensing, Imaging And Assays
  • Multiplexed Analysis Of Nucleic Acid Hybridization Thermodynamics Using Integrated Arrays
  • Sequential Sequencing
  • Labelled Nucleotides
  • Whole Transciptome Sequencing
  • Modified Nucleotides
  • Labelled Nucleotides
  • Optimization Of Sequencing Reactions
  • Synthesis Of Four-Color 3′-O-Allyl Modified Photocleavable Fluorescent Nucleotides And Related Methods
  • Method For Exclusive Selection Of Circularized Dna From Monomolecular Dna In Circularizing Dna Molecules
  • Monitoring Health And Disease Status Using Clonotype Profiles
  • Cloud Computing Environment For Biological Data
  • Sequencing From Multiple Primers To Increase Data Rate And Density
  • Methods And Apparatus To Sequence A Nucleic Acid
  • Method For Producing Circular Dna Formed From Single-Molecule Dna
  • Apparatus And Method For Detection And Discrimination Molecular Object
  • Direct Capture, Amplification And Sequencing Of Target Dna Using Immobilized Primers
  • Method For Genotyping Clonotype Profiles Using Sequence Tags
  • Methods For Minimizing Sequence Specific Bias
  • Active-Electrode Integrated Biosensor Array And Methods For Use Thereof
  • Compositions And Method For Measuring And Calibrating Amplification Bias In Multiplexed Pcr Reactions
  • Methods Of Fetal Abnormality Detection
  • Dna Sequence With Non-Fluorescent Nucleotide Reversible Terminators And Cleavable Label Modified Nucleotide Terminators
  • Multiplex Q-Pcr Arrays
  • Reduced Representation Bisulfite Sequencing With Diversity Adaptors
  • Apparatus For Single-Molecule Detection
  • Reducing Sequence Read Count Error In Assessment Of Complex Genetic Variations
  • Active-Electrode Integrated Biosensor Array And Methods For Use Thereof
  • Apparatus For Single-Molecule Detection
  • Real-Time Sequencing Method For Single Molecule
  • Methods For Obtaining A Single Molecule Consensus Sequence
  • Microfluidic Devices
  • Method For Producing Circular Dna Formed From Single-Molecule Dna
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Labelled Nucleotides
  • Bi-Directional Sequencing Compositions And Methods
  • Dna Sequencing And Amplification Systems Using Nanoscale Field Effect Sensor Arrays
  • Methods Of Identifying, Isolating And Using Odorant And Aroma Receptors
  • Methods And Compositions For Performing Analytical Operations
  • Methods Of Targeted Sequencing
  • Multiplex Capture Of Nucleic Acids
  • Nucleic Acid Amplification Method
  • Methods Of Selecting Biologic-Producing Cell Lines By Next Generation Sequencing
  • Bi-Directional Sequencing Compositions And Methods
  • Sequence Analysis Of Complex Amplicons
  • Ultrafast Sequencing Of Biological Polymers Using A Labeled Nanopore
  • Massive Parallel Method For Decoding Dna And Rna
  • Method For Generating Clonotype Profiles Using Sequence Tags
  • Rare Clonotypes And Uses Thereof
  • Rna-Seq Transcriptome Analysis Of Spirodela Dormancy Without Reproduction And Identification Of Molecular Targets Useful For Improving Biomass Production For Industrial Applications
  • Methods And Systems For Sequencing Long Nucleic Acids
  • Multiplex Capture Of Nucleic Acids
  • Method Of Sequence Determination Using Sequence Tags
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Massive Parallel Method For Decoding Dna And Rna
  • Chemically Cleavable 3′-O-Allyl-Dntp-Allyl-Fluorophore Fluorescent Nucleotide Analogues And Related Methods
  • Continuous Extension And Deblocking In Reactions For Nucleic Acid Synthesis And Sequencing
  • Labelled Nucleotides
  • Cloning Of Single-Stranded Nucleic Acid
  • Detection And Measurement Of Tissue-Infiltrating Lymphocytes
  • Linear Valve Arrays
  • Compositions And Methods For Directional Nucleic Acid Amplification And Sequencing
  • Modified Nucleosides Or Nucleotides
  • Compositions And Methods For Nucleic Acid Sequencing
  • Massive Parallel Method For Decoding Dna And Rna
  • Monitoring Immunoglobulin Heavy Chain Evolution In B-Cell Acute Lymphoblastic Leukemia
  • Apparatus For Single-Molecule Detection
  • Compositions And Methods For Molecular Labeling
  • Methods And Systems For Sequencing Nucleic Acids
  • 3'-Oh Unblocked Uncleotides And Nucleosides Base Modified With Non-Cleavable, Terminating Groups And Methods For Their Use In Dna Squencing
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrg2626

    DOI

    http://dx.doi.org/10.1038/nrg2626

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023911485

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19997069


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Automation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Techniques", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Human", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Oligonucleotides", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymerase Chain Reaction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Baylor College of Medicine", 
              "id": "https://www.grid.ac/institutes/grid.39382.33", 
              "name": [
                "Human Genome Sequencing Center and Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA. mmetzker@bcm.edu"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Metzker", 
            "givenName": "Michael L", 
            "id": "sg:person.01342765112.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342765112.14"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/456023a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000046012", 
              "https://doi.org/10.1038/456023a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm688", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000683258"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1179", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001773338", 
              "https://doi.org/10.1038/nmeth.1179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/13664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002141889", 
              "https://doi.org/10.1038/13664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/13664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002141889", 
              "https://doi.org/10.1038/13664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2007.12.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002151237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002767840", 
              "https://doi.org/10.1038/ng1416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002767840", 
              "https://doi.org/10.1038/ng1416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1107-891", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003704486", 
              "https://doi.org/10.1038/nmeth1107-891"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0230489100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004751048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkn021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005169388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0209-150", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005455888", 
              "https://doi.org/10.1038/nbt0209-150"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.079053.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005708074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0609513103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005970907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2641", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006115199", 
              "https://doi.org/10.1038/nrg2641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2641", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006115199", 
              "https://doi.org/10.1038/nrg2641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/iai.00210-06", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006712694"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2009.02.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008070972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1561", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008087076", 
              "https://doi.org/10.1038/nbt.1561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1561", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008087076", 
              "https://doi.org/10.1038/nbt.1561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1561", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008087076", 
              "https://doi.org/10.1038/nbt.1561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1156409", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008343290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009647980", 
              "https://doi.org/10.1038/nmeth1109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1081/ncn-200059823", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010388205"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1081/ncn-200059823", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010388205"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1117389", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010697532"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.083311.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011112451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2554", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011407465", 
              "https://doi.org/10.1038/nrg2554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2554", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011407465", 
              "https://doi.org/10.1038/nrg2554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.3770505", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011741115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/ddn270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012294053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.080200.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012335090"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2007.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012402265", 
              "https://doi.org/10.1038/ng.2007.42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013534924", 
              "https://doi.org/10.1038/nature03001"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013534924", 
              "https://doi.org/10.1038/nature03001"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1562", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014017119", 
              "https://doi.org/10.1038/ng1562"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1562", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014017119", 
              "https://doi.org/10.1038/ng1562"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1562", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014017119", 
              "https://doi.org/10.1038/ng1562"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.f.248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014925042", 
              "https://doi.org/10.1038/nmeth.f.248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.f.248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014925042", 
              "https://doi.org/10.1038/nmeth.f.248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1181498", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014947319"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1181498", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014947319"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07484", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016969839", 
              "https://doi.org/10.1038/nature07484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl629", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017299791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.091868.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017676111"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa0903840", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019484764"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1079700", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020827190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1162986", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021160342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03959", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021574562", 
              "https://doi.org/10.1038/nature03959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03959", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021574562", 
              "https://doi.org/10.1038/nature03959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05336", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022286131", 
              "https://doi.org/10.1038/nature05336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05336", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022286131", 
              "https://doi.org/10.1038/nature05336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature05336", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022286131", 
              "https://doi.org/10.1038/nature05336"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1583", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022555745", 
              "https://doi.org/10.1038/nbt.1583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1583", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022555745", 
              "https://doi.org/10.1038/nbt.1583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1249", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022904830", 
              "https://doi.org/10.1038/nmeth.1249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/cr040498d", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024250188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/cr040498d", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024250188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025042325", 
              "https://doi.org/10.1038/nmeth1111"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.7088808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025227180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/22.20.4259", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026596047"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026609244"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-1119(94)90226-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027664462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0378-1119(94)90226-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027664462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/abio.1996.0432", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027675298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1354", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028638279", 
              "https://doi.org/10.1038/nmeth.1354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-603", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028935538", 
              "https://doi.org/10.1186/1471-2164-9-603"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.0050254", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028942453"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029364743", 
              "https://doi.org/10.1038/nmeth.1230"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1901", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030165308", 
              "https://doi.org/10.1038/nrg1901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1901", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030165308", 
              "https://doi.org/10.1038/nrg1901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030217088", 
              "https://doi.org/10.1038/nature08211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030217088", 
              "https://doi.org/10.1038/nature08211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.076463.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030225638"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1150427", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030422156"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/iai.00984-08", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030637376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2484", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030687647", 
              "https://doi.org/10.1038/nrg2484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031106868", 
              "https://doi.org/10.1038/ng.195"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1136678", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031480762"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2009-10-3-r32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031680869", 
              "https://doi.org/10.1186/gb-2009-10-3-r32"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0003-2697(03)00291-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034383294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0003-2697(03)00291-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034383294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07485", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034796960", 
              "https://doi.org/10.1038/nature07485"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.7337908", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035219026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/elps.200305646", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035262548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.092197.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035862153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1495", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037155475", 
              "https://doi.org/10.1038/nbt.1495"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1098918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037256982"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm689", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037261488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2009.01.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037295344"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1373/clinchem.2008.107565", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037869075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06862", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038272226", 
              "https://doi.org/10.1038/nature06862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.072033.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038496028"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1551", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039844797", 
              "https://doi.org/10.1038/nbt.1551"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1008-1101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040355391", 
              "https://doi.org/10.1038/nbt1008-1101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1523", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040653661", 
              "https://doi.org/10.1038/nbt.1523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0509-455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043194556", 
              "https://doi.org/10.1038/nbt0509-455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0509-455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043194556", 
              "https://doi.org/10.1038/nbt0509-455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkn425", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044990606"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045043031", 
              "https://doi.org/10.1038/nature08390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045043031", 
              "https://doi.org/10.1038/nature08390"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0004012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045270729"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1133470100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045398840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045927978", 
              "https://doi.org/10.1038/nmeth1110"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/scientificamerican0307-50", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046363892", 
              "https://doi.org/10.1038/scientificamerican0307-50"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.078212.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047542880"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06884", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047672670", 
              "https://doi.org/10.1038/nature06884"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048416659", 
              "https://doi.org/10.1038/nmeth1157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gnj023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048798119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0804023105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049123160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/dc08-1529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050694675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0803240105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051295955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.074492.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051720574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkn906", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052404724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1286", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052844738", 
              "https://doi.org/10.1038/nmeth.1286"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052925719", 
              "https://doi.org/10.1038/nature07517"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1008-1113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053533041", 
              "https://doi.org/10.1038/nbt1008-1113"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1137325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062455114"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1149504", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062456540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1167140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062459142"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1174462", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062460190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.281.5375.363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062561814"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.3413476", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062613076"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1080009635", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-01", 
        "datePublishedReg": "2010-01-01", 
        "description": "Demand has never been greater for revolutionary technologies that deliver fast, inexpensive and accurate genome information. This challenge has catalysed the development of next-generation sequencing (NGS) technologies. The inexpensive production of large volumes of sequence data is the primary advantage over conventional methods. Here, I present a technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments. I also outline the broad range of applications for NGS technologies, in addition to providing guidelines for platform selection to address biological questions of interest.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nrg2626", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2699330", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2637655", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2637657", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2529231", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2613319", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1023607", 
            "issn": [
              "1471-0056", 
              "1471-0064"
            ], 
            "name": "Nature Reviews Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "11"
          }
        ], 
        "name": "Sequencing technologies \u2014 the next generation", 
        "pagination": "31-46", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "71eaa3616d465ed4a3723f9e30187a9272d873143db2d62e30766acf0ef73ad6"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19997069"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100962779"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nrg2626"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1023911485"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nrg2626", 
          "https://app.dimensions.ai/details/publication/pub.1023911485"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:36", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000346_0000000346/records_99824_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/articles/nrg2626"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nrg2626'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nrg2626'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrg2626'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nrg2626'


     

    This table displays all metadata directly associated to this object as RDF triples.

    468 TRIPLES      21 PREDICATES      141 URIs      32 LITERALS      20 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nrg2626 schema:about N3e9b4bbc10084715bcf24d3abd558139
    2 N55f81537fd184719827405e1faf5bf8b
    3 N5aa73323a8bc47249a16968dc4b1b7ad
    4 N5fcfc50cbff3430aac82e83f48a5e9a4
    5 N626c9b9e30034ea780913dfd2ef82747
    6 N762c187231aa48b8af8523cffb7aee9d
    7 N85a3809618264c4c93cecd218f9b7f18
    8 N96c01dd2c58d49509bcd640e93a389e3
    9 Na1aed71829bf4b35b4c02da40c9e94f4
    10 Nbc6a24335f254d24805a73e5d6790858
    11 Ndd77d6d08f1c4e99b2ebafde9d28c24b
    12 anzsrc-for:06
    13 anzsrc-for:0604
    14 schema:author N1a4d5dab885a46bca6ee85c3f352d945
    15 schema:citation sg:pub.10.1038/13664
    16 sg:pub.10.1038/456023a
    17 sg:pub.10.1038/nature03001
    18 sg:pub.10.1038/nature03959
    19 sg:pub.10.1038/nature05336
    20 sg:pub.10.1038/nature06862
    21 sg:pub.10.1038/nature06884
    22 sg:pub.10.1038/nature07484
    23 sg:pub.10.1038/nature07485
    24 sg:pub.10.1038/nature07517
    25 sg:pub.10.1038/nature08211
    26 sg:pub.10.1038/nature08390
    27 sg:pub.10.1038/nbt.1495
    28 sg:pub.10.1038/nbt.1523
    29 sg:pub.10.1038/nbt.1551
    30 sg:pub.10.1038/nbt.1561
    31 sg:pub.10.1038/nbt.1583
    32 sg:pub.10.1038/nbt0209-150
    33 sg:pub.10.1038/nbt0509-455
    34 sg:pub.10.1038/nbt1008-1101
    35 sg:pub.10.1038/nbt1008-1113
    36 sg:pub.10.1038/ng.195
    37 sg:pub.10.1038/ng.2007.42
    38 sg:pub.10.1038/ng1416
    39 sg:pub.10.1038/ng1562
    40 sg:pub.10.1038/nmeth.1179
    41 sg:pub.10.1038/nmeth.1230
    42 sg:pub.10.1038/nmeth.1249
    43 sg:pub.10.1038/nmeth.1286
    44 sg:pub.10.1038/nmeth.1354
    45 sg:pub.10.1038/nmeth.f.248
    46 sg:pub.10.1038/nmeth1107-891
    47 sg:pub.10.1038/nmeth1109
    48 sg:pub.10.1038/nmeth1110
    49 sg:pub.10.1038/nmeth1111
    50 sg:pub.10.1038/nmeth1157
    51 sg:pub.10.1038/nrg1901
    52 sg:pub.10.1038/nrg2484
    53 sg:pub.10.1038/nrg2554
    54 sg:pub.10.1038/nrg2641
    55 sg:pub.10.1038/scientificamerican0307-50
    56 sg:pub.10.1186/1471-2164-9-603
    57 sg:pub.10.1186/gb-2009-10-3-r32
    58 https://app.dimensions.ai/details/publication/pub.1080009635
    59 https://doi.org/10.1002/elps.200305646
    60 https://doi.org/10.1006/abio.1996.0432
    61 https://doi.org/10.1016/0378-1119(94)90226-7
    62 https://doi.org/10.1016/j.cell.2009.01.035
    63 https://doi.org/10.1016/j.cell.2009.02.006
    64 https://doi.org/10.1016/j.tig.2007.12.006
    65 https://doi.org/10.1016/s0003-2697(03)00291-4
    66 https://doi.org/10.1021/cr040498d
    67 https://doi.org/10.1056/nejmoa0903840
    68 https://doi.org/10.1073/pnas.0230489100
    69 https://doi.org/10.1073/pnas.0609513103
    70 https://doi.org/10.1073/pnas.0803240105
    71 https://doi.org/10.1073/pnas.0804023105
    72 https://doi.org/10.1073/pnas.1133470100
    73 https://doi.org/10.1081/ncn-200059823
    74 https://doi.org/10.1093/bioinformatics/btl629
    75 https://doi.org/10.1093/hmg/ddn270
    76 https://doi.org/10.1093/nar/22.20.4259
    77 https://doi.org/10.1093/nar/gkm688
    78 https://doi.org/10.1093/nar/gkm689
    79 https://doi.org/10.1093/nar/gkn021
    80 https://doi.org/10.1093/nar/gkn425
    81 https://doi.org/10.1093/nar/gkn906
    82 https://doi.org/10.1093/nar/gnj023
    83 https://doi.org/10.1101/gr.072033.107
    84 https://doi.org/10.1101/gr.074492.107
    85 https://doi.org/10.1101/gr.076463.108
    86 https://doi.org/10.1101/gr.078212.108
    87 https://doi.org/10.1101/gr.079053.108
    88 https://doi.org/10.1101/gr.080200.108
    89 https://doi.org/10.1101/gr.083311.108
    90 https://doi.org/10.1101/gr.091868.109
    91 https://doi.org/10.1101/gr.092197.109
    92 https://doi.org/10.1101/gr.3770505
    93 https://doi.org/10.1101/gr.7088808
    94 https://doi.org/10.1101/gr.7337908
    95 https://doi.org/10.1126/science.1079700
    96 https://doi.org/10.1126/science.1098918
    97 https://doi.org/10.1126/science.1117389
    98 https://doi.org/10.1126/science.1136678
    99 https://doi.org/10.1126/science.1137325
    100 https://doi.org/10.1126/science.1149504
    101 https://doi.org/10.1126/science.1150427
    102 https://doi.org/10.1126/science.1156409
    103 https://doi.org/10.1126/science.1162986
    104 https://doi.org/10.1126/science.1167140
    105 https://doi.org/10.1126/science.1174462
    106 https://doi.org/10.1126/science.1181498
    107 https://doi.org/10.1126/science.281.5375.363
    108 https://doi.org/10.1126/science.3413476
    109 https://doi.org/10.1128/iai.00210-06
    110 https://doi.org/10.1128/iai.00984-08
    111 https://doi.org/10.1371/journal.pbio.0050254
    112 https://doi.org/10.1371/journal.pgen.1000139
    113 https://doi.org/10.1371/journal.pone.0004012
    114 https://doi.org/10.1373/clinchem.2008.107565
    115 https://doi.org/10.2337/dc08-1529
    116 schema:datePublished 2010-01
    117 schema:datePublishedReg 2010-01-01
    118 schema:description Demand has never been greater for revolutionary technologies that deliver fast, inexpensive and accurate genome information. This challenge has catalysed the development of next-generation sequencing (NGS) technologies. The inexpensive production of large volumes of sequence data is the primary advantage over conventional methods. Here, I present a technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments. I also outline the broad range of applications for NGS technologies, in addition to providing guidelines for platform selection to address biological questions of interest.
    119 schema:genre research_article
    120 schema:inLanguage en
    121 schema:isAccessibleForFree true
    122 schema:isPartOf N4ee41db6380e4b52a9385f5f50bc01a2
    123 Nfed419ea38864026b2fb20f254ddd980
    124 sg:journal.1023607
    125 schema:name Sequencing technologies — the next generation
    126 schema:pagination 31-46
    127 schema:productId N029ff1a8b76d4a8c8e3c8c54b3b82874
    128 N1af8e403aaf5417ea9c80b0c3f3970d6
    129 N3a3ec31c6a34488385bd5df0d0179a93
    130 N75c1204c969a44df9de3191fb5581c55
    131 Nf258bc5b211e4bafba67777672417386
    132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023911485
    133 https://doi.org/10.1038/nrg2626
    134 schema:sdDatePublished 2019-04-11T09:36
    135 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    136 schema:sdPublisher Nc5e70ce03ce648309813c749a3284642
    137 schema:url http://www.nature.com/articles/nrg2626
    138 sgo:license sg:explorer/license/
    139 sgo:sdDataset articles
    140 rdf:type schema:ScholarlyArticle
    141 N029ff1a8b76d4a8c8e3c8c54b3b82874 schema:name nlm_unique_id
    142 schema:value 100962779
    143 rdf:type schema:PropertyValue
    144 N1a4d5dab885a46bca6ee85c3f352d945 rdf:first sg:person.01342765112.14
    145 rdf:rest rdf:nil
    146 N1af8e403aaf5417ea9c80b0c3f3970d6 schema:name doi
    147 schema:value 10.1038/nrg2626
    148 rdf:type schema:PropertyValue
    149 N3a3ec31c6a34488385bd5df0d0179a93 schema:name readcube_id
    150 schema:value 71eaa3616d465ed4a3723f9e30187a9272d873143db2d62e30766acf0ef73ad6
    151 rdf:type schema:PropertyValue
    152 N3e9b4bbc10084715bcf24d3abd558139 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Genome
    154 rdf:type schema:DefinedTerm
    155 N4ee41db6380e4b52a9385f5f50bc01a2 schema:volumeNumber 11
    156 rdf:type schema:PublicationVolume
    157 N55f81537fd184719827405e1faf5bf8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name Molecular Biology
    159 rdf:type schema:DefinedTerm
    160 N5aa73323a8bc47249a16968dc4b1b7ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Humans
    162 rdf:type schema:DefinedTerm
    163 N5fcfc50cbff3430aac82e83f48a5e9a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Genomics
    165 rdf:type schema:DefinedTerm
    166 N626c9b9e30034ea780913dfd2ef82747 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Sequence Analysis, DNA
    168 rdf:type schema:DefinedTerm
    169 N75c1204c969a44df9de3191fb5581c55 schema:name dimensions_id
    170 schema:value pub.1023911485
    171 rdf:type schema:PropertyValue
    172 N762c187231aa48b8af8523cffb7aee9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Models, Genetic
    174 rdf:type schema:DefinedTerm
    175 N85a3809618264c4c93cecd218f9b7f18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Automation
    177 rdf:type schema:DefinedTerm
    178 N96c01dd2c58d49509bcd640e93a389e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Oligonucleotides
    180 rdf:type schema:DefinedTerm
    181 Na1aed71829bf4b35b4c02da40c9e94f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Genome, Human
    183 rdf:type schema:DefinedTerm
    184 Nbc6a24335f254d24805a73e5d6790858 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Polymerase Chain Reaction
    186 rdf:type schema:DefinedTerm
    187 Nc5e70ce03ce648309813c749a3284642 schema:name Springer Nature - SN SciGraph project
    188 rdf:type schema:Organization
    189 Ndd77d6d08f1c4e99b2ebafde9d28c24b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    190 schema:name Genetic Techniques
    191 rdf:type schema:DefinedTerm
    192 Nf258bc5b211e4bafba67777672417386 schema:name pubmed_id
    193 schema:value 19997069
    194 rdf:type schema:PropertyValue
    195 Nfed419ea38864026b2fb20f254ddd980 schema:issueNumber 1
    196 rdf:type schema:PublicationIssue
    197 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    198 schema:name Biological Sciences
    199 rdf:type schema:DefinedTerm
    200 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    201 schema:name Genetics
    202 rdf:type schema:DefinedTerm
    203 sg:grant.2529231 http://pending.schema.org/fundedItem sg:pub.10.1038/nrg2626
    204 rdf:type schema:MonetaryGrant
    205 sg:grant.2613319 http://pending.schema.org/fundedItem sg:pub.10.1038/nrg2626
    206 rdf:type schema:MonetaryGrant
    207 sg:grant.2637655 http://pending.schema.org/fundedItem sg:pub.10.1038/nrg2626
    208 rdf:type schema:MonetaryGrant
    209 sg:grant.2637657 http://pending.schema.org/fundedItem sg:pub.10.1038/nrg2626
    210 rdf:type schema:MonetaryGrant
    211 sg:grant.2699330 http://pending.schema.org/fundedItem sg:pub.10.1038/nrg2626
    212 rdf:type schema:MonetaryGrant
    213 sg:journal.1023607 schema:issn 1471-0056
    214 1471-0064
    215 schema:name Nature Reviews Genetics
    216 rdf:type schema:Periodical
    217 sg:person.01342765112.14 schema:affiliation https://www.grid.ac/institutes/grid.39382.33
    218 schema:familyName Metzker
    219 schema:givenName Michael L
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342765112.14
    221 rdf:type schema:Person
    222 sg:pub.10.1038/13664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002141889
    223 https://doi.org/10.1038/13664
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/456023a schema:sameAs https://app.dimensions.ai/details/publication/pub.1000046012
    226 https://doi.org/10.1038/456023a
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/nature03001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013534924
    229 https://doi.org/10.1038/nature03001
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/nature03959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574562
    232 https://doi.org/10.1038/nature03959
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/nature05336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022286131
    235 https://doi.org/10.1038/nature05336
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/nature06862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038272226
    238 https://doi.org/10.1038/nature06862
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nature06884 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047672670
    241 https://doi.org/10.1038/nature06884
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nature07484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016969839
    244 https://doi.org/10.1038/nature07484
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nature07485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034796960
    247 https://doi.org/10.1038/nature07485
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/nature07517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052925719
    250 https://doi.org/10.1038/nature07517
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/nature08211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030217088
    253 https://doi.org/10.1038/nature08211
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nature08390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045043031
    256 https://doi.org/10.1038/nature08390
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nbt.1495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037155475
    259 https://doi.org/10.1038/nbt.1495
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/nbt.1523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040653661
    262 https://doi.org/10.1038/nbt.1523
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/nbt.1551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039844797
    265 https://doi.org/10.1038/nbt.1551
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1038/nbt.1561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008087076
    268 https://doi.org/10.1038/nbt.1561
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1038/nbt.1583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022555745
    271 https://doi.org/10.1038/nbt.1583
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1038/nbt0209-150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005455888
    274 https://doi.org/10.1038/nbt0209-150
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1038/nbt0509-455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043194556
    277 https://doi.org/10.1038/nbt0509-455
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1038/nbt1008-1101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040355391
    280 https://doi.org/10.1038/nbt1008-1101
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1038/nbt1008-1113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053533041
    283 https://doi.org/10.1038/nbt1008-1113
    284 rdf:type schema:CreativeWork
    285 sg:pub.10.1038/ng.195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031106868
    286 https://doi.org/10.1038/ng.195
    287 rdf:type schema:CreativeWork
    288 sg:pub.10.1038/ng.2007.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012402265
    289 https://doi.org/10.1038/ng.2007.42
    290 rdf:type schema:CreativeWork
    291 sg:pub.10.1038/ng1416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002767840
    292 https://doi.org/10.1038/ng1416
    293 rdf:type schema:CreativeWork
    294 sg:pub.10.1038/ng1562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014017119
    295 https://doi.org/10.1038/ng1562
    296 rdf:type schema:CreativeWork
    297 sg:pub.10.1038/nmeth.1179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001773338
    298 https://doi.org/10.1038/nmeth.1179
    299 rdf:type schema:CreativeWork
    300 sg:pub.10.1038/nmeth.1230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029364743
    301 https://doi.org/10.1038/nmeth.1230
    302 rdf:type schema:CreativeWork
    303 sg:pub.10.1038/nmeth.1249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022904830
    304 https://doi.org/10.1038/nmeth.1249
    305 rdf:type schema:CreativeWork
    306 sg:pub.10.1038/nmeth.1286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052844738
    307 https://doi.org/10.1038/nmeth.1286
    308 rdf:type schema:CreativeWork
    309 sg:pub.10.1038/nmeth.1354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028638279
    310 https://doi.org/10.1038/nmeth.1354
    311 rdf:type schema:CreativeWork
    312 sg:pub.10.1038/nmeth.f.248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014925042
    313 https://doi.org/10.1038/nmeth.f.248
    314 rdf:type schema:CreativeWork
    315 sg:pub.10.1038/nmeth1107-891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003704486
    316 https://doi.org/10.1038/nmeth1107-891
    317 rdf:type schema:CreativeWork
    318 sg:pub.10.1038/nmeth1109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009647980
    319 https://doi.org/10.1038/nmeth1109
    320 rdf:type schema:CreativeWork
    321 sg:pub.10.1038/nmeth1110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045927978
    322 https://doi.org/10.1038/nmeth1110
    323 rdf:type schema:CreativeWork
    324 sg:pub.10.1038/nmeth1111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025042325
    325 https://doi.org/10.1038/nmeth1111
    326 rdf:type schema:CreativeWork
    327 sg:pub.10.1038/nmeth1157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048416659
    328 https://doi.org/10.1038/nmeth1157
    329 rdf:type schema:CreativeWork
    330 sg:pub.10.1038/nrg1901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030165308
    331 https://doi.org/10.1038/nrg1901
    332 rdf:type schema:CreativeWork
    333 sg:pub.10.1038/nrg2484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030687647
    334 https://doi.org/10.1038/nrg2484
    335 rdf:type schema:CreativeWork
    336 sg:pub.10.1038/nrg2554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011407465
    337 https://doi.org/10.1038/nrg2554
    338 rdf:type schema:CreativeWork
    339 sg:pub.10.1038/nrg2641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006115199
    340 https://doi.org/10.1038/nrg2641
    341 rdf:type schema:CreativeWork
    342 sg:pub.10.1038/scientificamerican0307-50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046363892
    343 https://doi.org/10.1038/scientificamerican0307-50
    344 rdf:type schema:CreativeWork
    345 sg:pub.10.1186/1471-2164-9-603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028935538
    346 https://doi.org/10.1186/1471-2164-9-603
    347 rdf:type schema:CreativeWork
    348 sg:pub.10.1186/gb-2009-10-3-r32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031680869
    349 https://doi.org/10.1186/gb-2009-10-3-r32
    350 rdf:type schema:CreativeWork
    351 https://app.dimensions.ai/details/publication/pub.1080009635 schema:CreativeWork
    352 https://doi.org/10.1002/elps.200305646 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035262548
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.1006/abio.1996.0432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027675298
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.1016/0378-1119(94)90226-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027664462
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.1016/j.cell.2009.01.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037295344
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.1016/j.cell.2009.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008070972
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.1016/j.tig.2007.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002151237
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.1016/s0003-2697(03)00291-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034383294
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.1021/cr040498d schema:sameAs https://app.dimensions.ai/details/publication/pub.1024250188
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.1056/nejmoa0903840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019484764
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.1073/pnas.0230489100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004751048
    371 rdf:type schema:CreativeWork
    372 https://doi.org/10.1073/pnas.0609513103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005970907
    373 rdf:type schema:CreativeWork
    374 https://doi.org/10.1073/pnas.0803240105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051295955
    375 rdf:type schema:CreativeWork
    376 https://doi.org/10.1073/pnas.0804023105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049123160
    377 rdf:type schema:CreativeWork
    378 https://doi.org/10.1073/pnas.1133470100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045398840
    379 rdf:type schema:CreativeWork
    380 https://doi.org/10.1081/ncn-200059823 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010388205
    381 rdf:type schema:CreativeWork
    382 https://doi.org/10.1093/bioinformatics/btl629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017299791
    383 rdf:type schema:CreativeWork
    384 https://doi.org/10.1093/hmg/ddn270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012294053
    385 rdf:type schema:CreativeWork
    386 https://doi.org/10.1093/nar/22.20.4259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026596047
    387 rdf:type schema:CreativeWork
    388 https://doi.org/10.1093/nar/gkm688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000683258
    389 rdf:type schema:CreativeWork
    390 https://doi.org/10.1093/nar/gkm689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037261488
    391 rdf:type schema:CreativeWork
    392 https://doi.org/10.1093/nar/gkn021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005169388
    393 rdf:type schema:CreativeWork
    394 https://doi.org/10.1093/nar/gkn425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044990606
    395 rdf:type schema:CreativeWork
    396 https://doi.org/10.1093/nar/gkn906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052404724
    397 rdf:type schema:CreativeWork
    398 https://doi.org/10.1093/nar/gnj023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048798119
    399 rdf:type schema:CreativeWork
    400 https://doi.org/10.1101/gr.072033.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038496028
    401 rdf:type schema:CreativeWork
    402 https://doi.org/10.1101/gr.074492.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051720574
    403 rdf:type schema:CreativeWork
    404 https://doi.org/10.1101/gr.076463.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030225638
    405 rdf:type schema:CreativeWork
    406 https://doi.org/10.1101/gr.078212.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047542880
    407 rdf:type schema:CreativeWork
    408 https://doi.org/10.1101/gr.079053.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005708074
    409 rdf:type schema:CreativeWork
    410 https://doi.org/10.1101/gr.080200.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012335090
    411 rdf:type schema:CreativeWork
    412 https://doi.org/10.1101/gr.083311.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011112451
    413 rdf:type schema:CreativeWork
    414 https://doi.org/10.1101/gr.091868.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017676111
    415 rdf:type schema:CreativeWork
    416 https://doi.org/10.1101/gr.092197.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035862153
    417 rdf:type schema:CreativeWork
    418 https://doi.org/10.1101/gr.3770505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011741115
    419 rdf:type schema:CreativeWork
    420 https://doi.org/10.1101/gr.7088808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025227180
    421 rdf:type schema:CreativeWork
    422 https://doi.org/10.1101/gr.7337908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035219026
    423 rdf:type schema:CreativeWork
    424 https://doi.org/10.1126/science.1079700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020827190
    425 rdf:type schema:CreativeWork
    426 https://doi.org/10.1126/science.1098918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037256982
    427 rdf:type schema:CreativeWork
    428 https://doi.org/10.1126/science.1117389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010697532
    429 rdf:type schema:CreativeWork
    430 https://doi.org/10.1126/science.1136678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031480762
    431 rdf:type schema:CreativeWork
    432 https://doi.org/10.1126/science.1137325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062455114
    433 rdf:type schema:CreativeWork
    434 https://doi.org/10.1126/science.1149504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062456540
    435 rdf:type schema:CreativeWork
    436 https://doi.org/10.1126/science.1150427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030422156
    437 rdf:type schema:CreativeWork
    438 https://doi.org/10.1126/science.1156409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008343290
    439 rdf:type schema:CreativeWork
    440 https://doi.org/10.1126/science.1162986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021160342
    441 rdf:type schema:CreativeWork
    442 https://doi.org/10.1126/science.1167140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062459142
    443 rdf:type schema:CreativeWork
    444 https://doi.org/10.1126/science.1174462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062460190
    445 rdf:type schema:CreativeWork
    446 https://doi.org/10.1126/science.1181498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014947319
    447 rdf:type schema:CreativeWork
    448 https://doi.org/10.1126/science.281.5375.363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062561814
    449 rdf:type schema:CreativeWork
    450 https://doi.org/10.1126/science.3413476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062613076
    451 rdf:type schema:CreativeWork
    452 https://doi.org/10.1128/iai.00210-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006712694
    453 rdf:type schema:CreativeWork
    454 https://doi.org/10.1128/iai.00984-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030637376
    455 rdf:type schema:CreativeWork
    456 https://doi.org/10.1371/journal.pbio.0050254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028942453
    457 rdf:type schema:CreativeWork
    458 https://doi.org/10.1371/journal.pgen.1000139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026609244
    459 rdf:type schema:CreativeWork
    460 https://doi.org/10.1371/journal.pone.0004012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045270729
    461 rdf:type schema:CreativeWork
    462 https://doi.org/10.1373/clinchem.2008.107565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037869075
    463 rdf:type schema:CreativeWork
    464 https://doi.org/10.2337/dc08-1529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050694675
    465 rdf:type schema:CreativeWork
    466 https://www.grid.ac/institutes/grid.39382.33 schema:alternateName Baylor College of Medicine
    467 schema:name Human Genome Sequencing Center and Department of Molecular & Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA. mmetzker@bcm.edu
    468 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...