Next-generation DNA sequencing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-10-09

AUTHORS

Jay Shendure, Hanlee Ji

ABSTRACT

DNA sequence represents a single format onto which a broad range of biological phenomena can be projected for high-throughput data collection. Over the past three years, massively parallel DNA sequencing platforms have become widely available, reducing the cost of DNA sequencing by over two orders of magnitude, and democratizing the field by putting the sequencing capacity of a major genome center in the hands of individual investigators. These new technologies are rapidly evolving, and near-term challenges include the development of robust protocols for generating sequencing libraries, building effective new approaches to data-analysis, and often a rethinking of experimental design. Next-generation DNA sequencing has the potential to dramatically accelerate biological and biomedical research, by enabling the comprehensive analysis of genomes, transcriptomes and interactomes to become inexpensive, routine and widespread, rather than requiring significant production-scale efforts. More... »

PAGES

1135-1145

References to SciGraph publications

  • 1998-07. Mutation detection and single-molecule counting using isothermal rolling-circle amplification in NATURE GENETICS
  • 2005-11-18. Mutation discovery in bacterial genomes: metronidazole resistance in Helicobacter pylori in NATURE METHODS
  • 2008-05-30. Stem cell transcriptome profiling via massive-scale mRNA sequencing in NATURE METHODS
  • 2005-01. Direct genomic selection in NATURE METHODS
  • 2003-09-30. Integrated nanoliter systems in NATURE BIOTECHNOLOGY
  • 2005-01-09. Gene identification signature (GIS) analysis for transcriptome characterization and genome annotation in NATURE METHODS
  • 2008-01-13. Pyrobayes: an improved base caller for SNP discovery in pyrosequences in NATURE METHODS
  • 2008-02-28. Using quality scores and longer reads improves accuracy of Solexa read mapping in BMC BIOINFORMATICS
  • 2004-03-14. A nanoliter-scale nucleic acid processor with parallel architecture in NATURE BIOTECHNOLOGY
  • 1998-01. Accurate sequencing by hybridization for DNA diagnostics and individual genomics in NATURE BIOTECHNOLOGY
  • 1977-02. Nucleotide sequence of bacteriophage φX174 DNA in NATURE
  • 2005-02-15. Automated generation of heuristics for biological sequence comparison in BMC BIOINFORMATICS
  • 2005-07-31. Genome sequencing in microfabricated high-density picolitre reactors in NATURE
  • 2004-05. Advanced sequencing technologies: methods and goals in NATURE REVIEWS GENETICS
  • 2007-10-14. Multiplex amplification of large sets of human exons in NATURE METHODS
  • 2007-10-14. Direct selection of human genomic loci by microarray hybridization in NATURE METHODS
  • 2000-06. Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays in NATURE BIOTECHNOLOGY
  • 2008-04. Comparing whole genomes using DNA microarrays in NATURE REVIEWS GENETICS
  • 2008-05-18. Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution in NATURE
  • 2001-12. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data in NATURE GENETICS
  • 2008-01-31. Parallel tagged sequencing on the 454 platform in NATURE PROTOCOLS
  • 2008-05-25. Rapid genome sequencing with short universal tiling probes in NATURE BIOTECHNOLOGY
  • 2007-07-29. A sequence-based variation map of 8.27 million SNPs in inbred mouse strains in NATURE
  • 2007-12-19. Sequence census methods for functional genomics in NATURE METHODS
  • 2008-05-30. Mapping and quantifying mammalian transcriptomes by RNA-Seq in NATURE METHODS
  • 2006-09-29. Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach in BMC GENOMICS
  • 2008-04-27. Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing in NATURE GENETICS
  • 2007-06-11. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing in NATURE METHODS
  • 2008-04. The complete genome of an individual by massively parallel DNA sequencing in NATURE
  • 2008-02-24. SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries in NATURE METHODS
  • 2007-10-14. Microarray-based genomic selection for high-throughput resequencing in NATURE METHODS
  • 2007-11-04. Genome-wide in situ exon capture for selective resequencing in NATURE GENETICS
  • Journal

    TITLE

    Nature Biotechnology

    ISSUE

    10

    VOLUME

    26

    Related Patents

  • Library Characterization By Digital Assay
  • Droplet Generation For Droplet-Based Assays
  • Nucleic Acid Amplification
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Using Size And Number Aberrations In Plasma Dna For Detecting Cancer
  • Systems And Methods For Interpreting A Human Genome Using A Synthetic Reference Sequence
  • Paired End Bead Amplification And High Throughput Sequencing
  • Allows The Detection Of Aneuploidy Using Massively Parallel Amplification And Detection Methods; Such As For The Trisomy That Causes Down Syndrome
  • Biomarkers For Diagnosis Of Transient Ischemic Attacks
  • Method For Determining Copy Number Variations
  • Noninvasive Diagnosis Of Fetal Aneuploidy By Sequencing
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Compositions For Nucleic Acid Analysis
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Computational Methods For Translating A Sequence Of Multi-Base Color Calls To A Sequence Of Bases
  • Monitoring Health And Disease Status Using Clonotype Profiles
  • Compositions And Methods For Characterizing Lymphoma And Related Conditions
  • Selective Amplification Using Blocking Oligonucleotides
  • Method, Device And Kit For Detecting Fetal Genetic Mutation
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • System For Droplet-Based Assays Using An Array Of Emulsions
  • Bead Emulsion Nucleic Acid Amplification
  • Massively Parallel Single Cell Analysis
  • Methods, Compositions, Systems, Apparatuses And Kits For Nucleic Acid Amplification
  • Substituted Nucleoside Analogues For Use As Prmt5 Inhibitors
  • Reducing Gc Bias In Dna Sequencing Using Nucleotide Analogs
  • Direct Capture, Amplification And Sequencing Of Target Dna Using Immobilized Primers
  • Digital Assays With Multiplexed Detection Of Two Or More Targets In The Same Optical Channel
  • 6-6 Bicyclic Aromatic Ring Substituted Nucleoside Analogues For Use As Prmt5 Inhibitors
  • Spirobicyclic Analogues
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Methods For Simultaneous Amplification Of Target Loci
  • Systems And Methods For Mapping Sequence Reads
  • Methods Of Selecting Biologic-Producing Cell Lines By Next Generation Sequencing
  • Development Of Snp Islands And Application Of Snp Islands In Genomic Analysis
  • Methods And Systems For Detecting Genetic Variants
  • Diagnosis Of Lymphoid Malignancies And Minimal Residual Disease Detection
  • Non-Invasive Fetal Genetic Screening By Digital Analysis
  • Resolving Genome Fractions Using Polymorphism Counts
  • Nucleic Acid Amplification
  • Method For Determining The Risk Of Developing Arthritis
  • System For Forming An Array Of Emulsions
  • Systems And Methods For Nucleic Acid Preparation
  • Error Correction In Amplification Of Samples
  • Sample Holder With A Well Having A Wicking Promoter
  • Compositions And Methods For Molecular Labeling
  • High-Throughput Single-Cell Analysis Combining Proteomic And Genomic Information
  • System For Detection Of Spaced Droplets
  • Methods And Compositions For Whole Transcriptome Amplification
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods And Devices For Dna Sequencing And Molecular Diagnostics
  • Noninvasive Diagnosis Of Fetal Aneuploidy By Sequencing
  • System And Method For Cleaning Noisy Genetic Data From Target Individuals Using Genetic Data From Genetically Related Individuals
  • Methods And Compositions For Single Cell Expression Profiling
  • Methods To Determine Tumor Gene Copy Number By Analysis Of Cell-Free Dna
  • Increasing Confidence Of Allele Calls With Molecular Counting
  • Detection Of Chemical Modifications In Nucleic Acids
  • Selective Extension In Single Cell Whole Transcriptome Analysis
  • Device For Generating Droplets
  • Modifications To Polynucleotides For Sequencing
  • Methods For Predicting The Risk Of Developing Pulmonary Colonization/Infection By Pseudomonas Aeruginosa
  • High-Capacity Storage Of Digital Information In Dna
  • Sequence Assembly
  • Non-Invasive Fetal Genetic Screening By Digtal Analysis
  • Biomarkers For The Diagnosis Of Lacunar Stroke
  • Identification Of Polymorphic Sequences In Mixtures Of Genomic Dna By Whole Genome Sequencing
  • Methods For Hybridization Based Hook Ligation
  • Nucleic Acid Amplification
  • Sequencing Nucleic Acid Polymers With Electron Microscopy
  • Methods For Characterizing Copy Number Variation Using Proximity-Litigation Sequencing
  • Multi-Sample Indexing For Multiplex Genotyping
  • Massively Parallel Continguity Mapping
  • Lipases, Polynucleotides Encoding Them And Their Uses
  • Comprehensive Monoclonal Antibody Generation
  • Methods And Systems For Detecting Genetic Variants
  • Measurement And Comparison Of Immune Diversity By High-Throughput Sequencing
  • Dna Sequencing Using Controlled Strand Displacement
  • Emulsion Chemistry For Encapsulated Droplets
  • Large Scale Organoid Analysis
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Phased Whole Genome Genetic Risk In A Family Quartet
  • Non-Invasive Fetal Genetic Screening By Digital Analysis
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Single Cell Analysis By Polymerase Cycling Assembly
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Compositions For Determining Ploidy
  • Sequence Assembly
  • Molecular Barcoding On Opposite Transcript Ends
  • Next Generation Sequencing Analysis System And Next Generation Sequencing Analysis Method Thereof
  • Systems And Methods For Identifying Sequence Variation
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Systems And Methods For Identifying Sequence Variation
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Measurement Of Protein Expression Using Reagents With Barcoded Oligonucleotide Sequences
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Integrated Microfluidic And Solid State Pyrosequencing Systems
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • De Novo Surface Preparation And Uses Thereof
  • Sample Preparation, Processing And Analysis Systems
  • Dynamic Formation Of Nanochannels For Single-Molecule Dna Analysis
  • Massively Parallel Contiguity Mapping
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Fluidic Cartridge With Valve Mechanism
  • Methods And Systems For Detecting Genetic Variants
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Compositions And Kits For Molecular Counting
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Bead Emulsion Nucleic Acid Amplification
  • Systems And Methods For Analyzing Nucleic Acid Sequences
  • Safe Sequencing System
  • Methods For Simultaneous Amplification Of Target Loci
  • System For Generating Droplets With Push-Back To Remove Oil
  • Library Construction Using Y-Adapters And Vanishing Restriction Sites
  • Methods And Compositions For Dna Fragmentation And Tagging By Transposases
  • Methods Of Nucleic Acid Sample Preparation
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Method And System For Network Modeling To Enlarge The Search Space Of Candidate Genes For Diseases
  • Increasing Confidence Of Allele Calls With Molecular Counting
  • Strategies For High Throughput Identification And Detection Of Polymorphisms
  • Conservative Concurrent Evaluation Of Dna Modifications
  • Methods Of Nucleic Acid Sample Preparation For Immune Repertoire Sequencing
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Normalizing Chromosomes For The Determination And Verification Of Common And Rare Chromosomal Aneuploidies
  • Non-Invasive Fetal Genetic Screening By Digital Analysis
  • System For Mixing Fluids By Coalescence Of Multiple Emulsions
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Sample Indexing For Single Cells
  • Kit, Apparatus, And Method For Detecting Chromosome Aneuploidy
  • Cartridge With Lysis Chamber And Droplet Generator
  • Methods For Preparing A Dna Fraction From A Biological Sample For Analyzing Genotypes Of Cell-Free Dna
  • Hydrophilic Coating Of Fluidic Channels
  • Re-Writable Dna-Based Digital Storage With Random Access
  • Integrated Analysis System
  • Comprehensive Monoclonal Antibody Generation
  • Methods And Compositions For Reducing Redundant Molecular Barcodes Created In Primer Extension Reactions
  • Methods Of Monitoring Conditions By Sequence Analysis
  • System For Generating Droplets—Instruments And Cassette
  • Kit Of Normalizing Biological Samples
  • Integrated Microfluidic And Solid State Pyrosequencing Systems
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Method And Apparatus For Compressing Genetic Data
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Systems For Sequence Calling
  • High Through-Put Analysis Of Transgene Borders
  • De Novo Surface Preparation And Uses Thereof
  • Sequencing Using Concatemers Of Copies Of Sense And Antisense Strands
  • Methods And Compositions For Multiplex Pcr
  • Methods And Compositions For Multiplex Pcr
  • Massively Parallel Single Cell Analysis
  • Measurement And Comparison Of Immune Diversity By High-Throughput Sequencing
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Molecular Indexing Of Internal Sequences
  • Methods And Systems For Sequencing Long Nucleic Acids
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Method And System For Nucleic Acid Sequencing
  • Method Of Determining Clonotypes And Clonotype Profiles
  • Treatment Of Disease Using Ligand Binding To Targets Of Interest
  • Method And System For Nucleic Acid Sequencing
  • Integrated Microfluidic And Solid State Pyrosequencing Systems
  • Dna Sequencing Using Controlled Strand Displacement
  • Identification Of Microorganisms From Genome Sequencing Data
  • Method And Apparatus For Compressing And Decompressing Genetic Information Obtained By Using Next Generation Sequencing (Ngs)
  • Nucleic Acid Amplification Method
  • Method For Assembly Of Nucleic Acid Sequence Data
  • Methods For Non-Invasive Prenatal Ploidy Calling
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Diagnosing Fetal Chromosomal Aneuploidy Using Massively Parallel Genomic Sequencing
  • Detecting And Classifying Copy Number Variation
  • Methods Of Preparing A Library Of Nucleic Acid Fragments Tagged With Oligonucleotide Bar Code Sequences
  • Vaccines For Treatment And Prevention Of Cancer
  • Comprehensive Monoclonal Antibody Generation
  • Adapters, Methods, And Compositions For Duplex Sequencing
  • Molecular Biomarkers For Cancer Immunotherapy
  • Method For Evaluating The Harmful Effects Of Urine On Children's Skin
  • Safe Sequencing System
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Methods For The Treatment Of Disease With Gene Editing Systems
  • Measurement And Comparison Of Immune Diversity By High-Throughput Sequencing
  • Methods, Compositions, Systems, Apparatuses And Kits For Nucleic Acid Amplification
  • Compositions And Methods For Co-Amplifying Subsequences Of A Nucleic Acid Fragment Sequence
  • Massively Parallel Single Cell Analysis
  • Methods For Identification Of An Antibody Or A Target
  • Using Cell-Free Dna Fragment Size To Determine Copy Number Variations
  • High-Sensitivity Sequencing To Detect Btk Inhibitor Resistance
  • Compositions And Methods For Detecting A Mutant Variant Of A Polynucleotide
  • Wafer Level Sequencing Flow Cell Fabrication
  • Molecular Label Counting Adjustment Methods
  • Gene Expression Analysis In Single Cells
  • Method For High-Throughput Aflp-Based Polymorphism Detection
  • Tunable Fluorescence Using Cleavable Linkers
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Systems And Methods For Sequence Data Alignment Quality Assessment
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Clonal Amplification Of Nucleic Acid On Solid Surface With Template Walking
  • Increasing Confidence Of Allele Calls With Molecular Counting
  • Nucleic Acid Ligation Systems And Methods
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods Of Nucleic Acid Sample Preparation For Analysis Of Cell-Free Dna
  • Systems And Methods For Detecting Viral Dna From Sequencing
  • Detecting And Classifying Copy Number Variation
  • Method For Identifying The Source Of An Amplicon
  • Method For Determining Copy Number Variations
  • Emulsion Chemistry For Encapsulated Droplets
  • Systems And Methods For Reconciling Variants In Sequence Data Relative To Reference Sequence Data
  • Methods For Determining A Nucleotide Sequence Contiguous To A Known Target Nucleotide Sequence
  • Methods And Compositions For Analyzing Nucleic Acid
  • Wafer Level Sequencing Flow Cell Fabrication
  • Increasing Confidence Of Allele Calls With Molecular Counting
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Clonal Amplification Of Nucleic Acid On Solid Surface With Template Walking
  • Molecular Label Counting Adjustment Methods
  • Methods Of Nucleic Acid Sample Preparation For Analysis Of Dna
  • Gene Expression Analysis In Single Cells
  • Method For High-Throughput Aflp-Based Polymorphism Detection
  • Methods And Apparatuses For Estimating Parameters In A Predictive Model For Use In Sequencing-By-Synthesis
  • Methods Of Nucleic Acid Sample Preparation
  • Noninvasive Diagnosis Of Fetal Aneuoploidy By Sequencing
  • Tunable Fluorescence Using Cleavable Linkers
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Nucleic Acid Ligation Systems And Methods
  • Methods And Compositions For Multiplex Pcr
  • Method For Evaluating The Harmful Effects Of Uv On Children's Skin
  • Methods And Compositions For Long Fragment Read Sequencing
  • Method Of Mixing Fluids By Coalescence Of Multiple Emulsions
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Polymerase Chain Reaction Normalization Through Primer Titration
  • Sequence Analysis Using Decorated Nucleic Acids
  • Water Level Sequencing Flow Cell Fabrication
  • Detecting Genetic Aberrations Associated With Cancer Using Genomic Sequencing
  • Measurement Of Protein Expression Using Reagents With Barcoded Oligonucleotide Sequences
  • Polynucleotide Sequencer Tuned To Artificial Polynucleotides
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods For Simultaneous Amplification Of Target Loci
  • Sequence Assembly
  • Non-Invasive Fetal Genetic Screening By Digital Analysis
  • Predictive Model For Use In Sequencing-By-Synthesis
  • Injection Molded Microfluidic/Fluidic Cartridge Integrated With Silicon-Based Sensor
  • Methods And Systems For Tumor Detection
  • Methods Of Enriching And Determining Target Nucleotide Sequences
  • Methods And Compositions For Nucleic Acid Analysis
  • Systems And Methods For Sequence Data Alignment Quality Assessment
  • Measurement And Comparison Of Immune Diversity By High-Throughput Sequencing
  • Methods Of Preparing Nucleic Acids For Sequencing
  • Methods And Systems For Mrna Boundary Analysis In Next Generation Sequencing
  • Nucleic Acid Amplification
  • Methods And Processes For Non-Invasive Detection Of A Microduplication Or A Microdeletion With Reduced Sequence Read Count Error
  • Multiplexed Digital Assays With Combinatorial Use Of Signals
  • Cartridges And Instruments For Sample Analysis
  • Accurate Molecular Barcoding
  • Massively Parallel Contiguity Mapping
  • Sample Preparation On A Solid Support
  • Methods And Systems For Obtaining A Single Molecule Consensus Sequence
  • Methods And Compositions For Tagging And Analyzing Samples
  • Diagnosing Fetal Chromosomal Aneuploidy Using Paired End
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Method Of Performing Droplet-Based Assays
  • Pathogen Detection Using Next Generation Sequencing
  • Nucleic Acid Amplification
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Random Insertion Genome Reconstruction
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Targeting Human Pcsk9 For Cholesterol Treatment
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Measurement Of Protein Expression Using Reagents With Barcoded Oligonucleotide Sequences
  • Shared Neoantigens
  • Probability-Directed Isolation Of Nucleotide Sequences (Pins)
  • Sequence Data Analyzer, Dna Analysis System And Sequence Data Analysis Method
  • Droplet Transport System For Detection
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • System And Method For Cleaning Noisy Genetic Data And Determining Chromosome Copy Number
  • System And Method For Cleaning Noisy Genetic Data And Determining Chromosome Copy Number
  • System For Forming Emulsions
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Systems For Sequence Calling
  • Methods And Compositions For Single Cell Expression Profiling
  • Methods And Systems For Detecting Genetic Variants
  • Methods For Nested Pcr Amplification Of Cell-Free Dna
  • Direct Capture, Amplification And Sequencing Of Target Dna Using Immobilized Primers
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Spatially Addressable Molecular Barcoding
  • Methods Of Sequencing Nucleic Acids In Mixtures And Compositions Related Thereto
  • Nucleic Acid Amplification
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Methods For Obtaining And Correcting Biological Sequence Information
  • 6-6 Bicyclic Aromatic Ring Substituted Nucleoside Analogues For Use As Prmt5 Inhibitors
  • Methods For Non-Invasive Prenatal Ploidy Calling
  • System For Mixing Fluids By Coalescence Of Multiple Emulsions
  • Pathogen Screening
  • Using Cell-Free Dna Fragment Size To Determine Copy Number Variations
  • Reconstituted Nipple Skin Model
  • Microfluidic Devices
  • Monitoring Health And Disease Status Using Clonotype Profiles
  • Methods For Accurate Sequence Data And Modified Base Position Determination
  • Device For Generating Droplets
  • Sequence Data Analyzer, Dna Analysis System And Sequence Data Analysis Method
  • Droplet Transport System For Detection
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Calibrations And Controls For Droplet-Based Assays
  • Systems And Methods For Sample Preparation, Processing And Analysis
  • Biosensors For Biological Or Chemical Analysis And Methods Of Manufacturing The Same Comprising A Plurality Of Wells Formed By A Metal Or Metal Oxide Layer
  • Device And Method For Producing A Replicate Or Derivative From An Array Of Molecules, And Applications Thereof
  • Nucleic Acid Ligation Systems And Methods
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Compositions And Methods For Diagnosing, Evaluating And Treating Cancer
  • System For Forming Emulsions
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Multiplex Nucleic Acid Detection Methods And Systems
  • Noninvasive Diagnosis Of Fetal Aneuploidy By Sequencing
  • System For Forming An Array Of Emulsions
  • Methods And Systems For Determining Ancestral Relatedness
  • Sequence Assembly And Consensus Sequence Determination
  • Structural Variant Evaluation Through Iterative Genome Construction
  • Fluidic Cartridge With Valve Mechanism
  • Cartridges And Instruments For Sample Analysis
  • Methods Of Nucleic Acid Sample Preparation For Immune Repertoire Sequencing
  • Methods And Compositions For Tagging And Analyzing Samples
  • System For Generating Droplets With Pressure Monitoring
  • Methods And Processes For Non Invasive Assessment Of A Genetic Variation
  • Flow-Based Thermocycling System With Thermoelectric Cooler
  • Computational Methods For Translating A Sequence Of Multi-Base Color Calls To A Sequence Of Bases
  • Methods For Profiling The T Cell Repertoire
  • Molecule Library Constructed On The Basis Of Backbone Structure Of Microprotein
  • Methods For Rna Quantification
  • High-Throughput Single-Cell Analysis Combining Proteomic And Genomic Information
  • Multipart Reagents Having Increased Avidity For Polymerase Binding
  • Library Construction Using Y-Adapters And Vanishing Restriction Sites
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods For Determining A Nucleotide Sequence Contiguous To A Known Target Nucleotide Sequence
  • Quantitative Nuclease Protection Sequencing (Qnps)
  • Methods And Compositions For Analyzing Nucleic Acid
  • Nucleic Acid Amplification
  • Enrichment Of Short Nucleic Acid Fragments In Sequencing Library Preparation
  • Device For Generating Droplets
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Probability-Directed Isolation Of Nucleotide Sequences (Pins)
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Determination Of Fetal Aneuploidies By Massively Parallel Dna Sequencing
  • Methods And Compositions For Nucleic Acid Analysis
  • Use Of Biomarkers In Identifying Cancer Patients That Will Be Responsive To Treatment With A Prmt5 Inhibitor
  • Random Insertion Genome Reconstruction
  • Antibodies For Use In Treating Conditions Related To Specific Pcsk9 Variants In Specific Patients Populations
  • Methods Of Sequencing Nucleic Acids In Mixtures And Compositions Related Thereto
  • Sample Preparation, Processing And Analysis Systems
  • Noninvasive Diagnosis Of Fetal Aneuploidy By Sequencing
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Genetic Copy Number Alteration Classifications
  • Methods For Obtaining A Single Molecule Consensus Sequence
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Sequence Assembly
  • Methods For Accurate Sequence Data And Modified Base Position Determination
  • Method And Apparatus For Dna-Based Authentication System
  • Method And Apparatus For Dna-Based Authentication System
  • Methods And Systems For Detecting Genetic Variants
  • Molecular Indexing Of Internal Sequences
  • Detecting And Classifying Copy Number Variation
  • Droplet-Based Assay System
  • Nanopore-Based Analysis Of Protein Characteristics
  • Methods Of Nucleic Acid Sample Preparation
  • Monocyclic And Bicyclic Ring System Substituted Carbanucleoside Analogues For Use As Prmt5 Inhibitors
  • Methods For Non-Invasive Prenatal Ploidy Calling
  • Error Detection In Sequence Tag Directed Subassemblies Of Short Sequencing Reads
  • Methods And Systems For Improved Droplet Stabilization
  • Methods For Simultaneous Amplification Of Target Loci
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods And Systems For Detecting Genetic Variants
  • Linked Dual Barcode Insertion Constructs
  • Measurement And Comparison Of Immune Diversity By High-Throughput Sequencing
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Sample Indexing For Single Cells
  • Methods Of Lowering The Error Rate Of Massively Parallel Dna Sequencing Using Duplex Consensus Sequencing
  • Methods And Apparatuses For Estimating Parameters In A Predictive Model For Use In Sequencing-By-Synthesis
  • Detecting And Classifying Copy Number Variation
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Methods For Simultaneous Amplification Of Target Loci
  • Safe Sequencing System
  • High-Resolution Clonal Typing Of Escherichia Coli
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • System For Transporting Emulsions From An Array To A Detector
  • Sequence Assembly And Consensus Sequence Determination
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Method For The Monitoring Of Modified Nucleases Induced-Gene Editing Events By Molecular Combing
  • Sequence Data Analyzer, Dna Analysis System And Sequence Data Analysis Method
  • Sequence Analysis Of Complex Amplicons
  • System For Hot-Start Amplification Via A Multiple Emulsion
  • Massively Parallel Single Cell Analysis
  • Modifications To Polynucleotides For Sequencing
  • Nucleic Acid Amplification Method Using Allele-Specific Reactive Primer
  • Paired End Bead Amplification And High Throughput Sequencing
  • Detecting Mutations And Ploidy In Chromosomal Segments
  • Analyzing Copy Number Variation In The Detection Of Cancer
  • Emulsion Chemistry For Encapsulated Droplets
  • Methods Of Enriching And Determining Target Nucleotide Sequences
  • Methods And Compositions For Tagging And Analyzing Samples
  • Methods Of Selecting Biologic-Producing Cell Lines By Next Generation Sequencing
  • Linear Valve Arrays
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Use Of Biomarkers In Identifying Cancer Patients That Will Be Responsive To Treatment With A Prmt5 Inhibitor
  • Droplet-Based Analysis Method
  • Nucleic Acid Amplification Method
  • Methods And Compositions For Library Normalization
  • Antibodies For Use In Treating Conditions Related To Specific Pcsk9 Variants In Specific Patients Populations
  • Assembly Of Nucleic Acid Sequences In Emulsions
  • Methods And Compositions For Enriching Non-Host Sequences In Host Samples
  • Molecular Indexing Of Internal Sequences
  • Error Detection In Sequence Tag Directed Subassemblies Of Short Sequencing Reads
  • Nanopore-Based Analysis Of Protein Characteristics
  • Methods And Systems For Detecting Genetic Variants
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods And Systems For Detecting Genetic Variants
  • Safe Sequencing System
  • Detecting And Classifying Copy Number Variation
  • System For Detection Of Spaced Droplets
  • Monocyclic And Bicyclic Ring System Substituted Carbanucleoside Analogues For Use As Prmt5 Inhibitors
  • Method And Apparatus For Dna-Based Authentication System
  • Methods And Systems For Improved Droplet Stabilization
  • Methods For Simultaneous Amplification Of Target Loci
  • Method And Apparatus For Dna-Based Authentication System
  • Methods For Non-Invasive Prenatal Ploidy Calling
  • Massively Parallel Single Cell Analysis
  • Compositions And Methods For Nucleic Acid Sequencing
  • Probability-Directed Isolation Of Nucleotide Sequences (Pins)
  • Biomarkers For Colorectal Cancer
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Massively Parallel Single Cell Analysis
  • Methods For Detecting And Treating Covid Patients Requiring Intensive Care
  • High Throughput Screening Of Populations Carrying Naturally Occurring Mutations
  • Device For Generating Droplets
  • Analyzing Copy Number Variation In The Detection Of Cancer
  • Methods And Processes For Non-Invasive Assessment Of Genetic Variations
  • Methods And Systems For Sequence Calling
  • Treatment Of Disease Using Ligand Binding To Targets Of Interest
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods For Predicting The Prognosis Of A Subject With A Myeloid Malignancy
  • Diagnosing Fetal Chromosomal Aneuploidy Using Massively Parallel Genomic Sequencing
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Nanopore-Based Analysis Of Protein Characteristics
  • Methods For Non-Invasive Prenatal Ploidy Calling
  • Methods And Compositions For Multiplex Pcr
  • Methods And Apparatuses For Estimating Parameters In A Predictive Model For Use In Sequencing-By-Synthesis
  • Method For Generating Clonotype Profiles Using Sequence Tags
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt1486

    DOI

    http://dx.doi.org/10.1038/nbt1486

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005954516

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18846087


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Forecasting", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Alignment", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Genome Sciences, University of Washington, Foege Building S-250, Box 355065, 1705 NE Pacific St., 98195-5065, Seattle, Washington, USA", 
              "id": "http://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Department of Genome Sciences, University of Washington, Foege Building S-250, Box 355065, 1705 NE Pacific St., 98195-5065, Seattle, Washington, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shendure", 
            "givenName": "Jay", 
            "id": "sg:person.01221110417.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221110417.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Stanford Genome Technology Center and Division of Oncology, Dept. of Medicine, Stanford University School of Medicine, CCSR 3215, 269 Campus Drive, 94305, Stanford, California, USA", 
              "id": "http://www.grid.ac/institutes/grid.168010.e", 
              "name": [
                "Stanford Genome Technology Center and Division of Oncology, Dept. of Medicine, Stanford University School of Medicine, CCSR 3215, 269 Campus Drive, 94305, Stanford, California, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ji", 
            "givenName": "Hanlee", 
            "id": "sg:person.0637505217.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637505217.49"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "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.10.1186/1471-2105-6-31", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010551629", 
              "https://doi.org/10.1186/1471-2105-6-31"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-7-246", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026547515", 
              "https://doi.org/10.1186/1471-2164-7-246"
            ], 
            "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": "sg:pub.10.1038/nmeth.1226", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045381177", 
              "https://doi.org/10.1038/nmeth.1226"
            ], 
            "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": "sg:pub.10.1038/nmeth0105-63", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051721477", 
              "https://doi.org/10.1038/nmeth0105-63"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06067", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035232209", 
              "https://doi.org/10.1038/nature06067"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth733", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038506370", 
              "https://doi.org/10.1038/nmeth733"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1068", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036304799", 
              "https://doi.org/10.1038/nmeth1068"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044718936", 
              "https://doi.org/10.1038/nature07002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0198-54", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022661727", 
              "https://doi.org/10.1038/nbt0198-54"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041884975", 
              "https://doi.org/10.1038/nrg1325"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/265687a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046070913", 
              "https://doi.org/10.1038/265687a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029892891", 
              "https://doi.org/10.1186/1471-2105-9-128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/76469", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028559169", 
              "https://doi.org/10.1038/76469"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/898", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011027937", 
              "https://doi.org/10.1038/898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1185", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034942023", 
              "https://doi.org/10.1038/nmeth.1185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1172", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020593059", 
              "https://doi.org/10.1038/nmeth.1172"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1201-365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003793347", 
              "https://doi.org/10.1038/ng1201-365"
            ], 
            "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": "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/ng.128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047246435", 
              "https://doi.org/10.1038/ng.128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023482055", 
              "https://doi.org/10.1038/nrg2335"
            ], 
            "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/nmeth805", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051874367", 
              "https://doi.org/10.1038/nmeth805"
            ], 
            "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/nbt1405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001541002", 
              "https://doi.org/10.1038/nbt1405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1223", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048586936", 
              "https://doi.org/10.1038/nmeth.1223"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2007.520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012965453", 
              "https://doi.org/10.1038/nprot.2007.520"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt951", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030413232", 
              "https://doi.org/10.1038/nbt951"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt871", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006917762", 
              "https://doi.org/10.1038/nbt871"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-10-09", 
        "datePublishedReg": "2008-10-09", 
        "description": "DNA sequence represents a single format onto which a broad range of biological phenomena can be projected for high-throughput data collection. Over the past three years, massively parallel DNA sequencing platforms have become widely available, reducing the cost of DNA sequencing by over two orders of magnitude, and democratizing the field by putting the sequencing capacity of a major genome center in the hands of individual investigators. These new technologies are rapidly evolving, and near-term challenges include the development of robust protocols for generating sequencing libraries, building effective new approaches to data-analysis, and often a rethinking of experimental design. Next-generation DNA sequencing has the potential to dramatically accelerate biological and biomedical research, by enabling the comprehensive analysis of genomes, transcriptomes and interactomes to become inexpensive, routine and widespread, rather than requiring significant production-scale efforts.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/nbt1486", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1115214", 
            "issn": [
              "1087-0156", 
              "1546-1696"
            ], 
            "name": "Nature Biotechnology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "keywords": [
          "next-generation DNA sequencing", 
          "DNA sequencing", 
          "parallel DNA sequencing platforms", 
          "DNA sequencing platforms", 
          "high-throughput data collection", 
          "sequencing libraries", 
          "DNA sequences", 
          "sequencing platforms", 
          "sequencing capacity", 
          "biological phenomena", 
          "Genome Center", 
          "sequencing", 
          "robust protocol", 
          "biomedical research", 
          "interactome", 
          "transcriptome", 
          "genome", 
          "comprehensive analysis", 
          "sequence", 
          "broad range", 
          "individual investigators", 
          "effective new approach", 
          "library", 
          "experimental design", 
          "development", 
          "orders of magnitude", 
          "potential", 
          "analysis", 
          "collection", 
          "single format", 
          "capacity", 
          "efforts", 
          "range", 
          "new approach", 
          "new technologies", 
          "protocol", 
          "platform", 
          "approach", 
          "investigators", 
          "phenomenon", 
          "hand", 
          "challenges", 
          "magnitude", 
          "research", 
          "order", 
          "years", 
          "field", 
          "near-term challenges", 
          "technology", 
          "format", 
          "center", 
          "cost", 
          "design", 
          "data collection", 
          "rethinking"
        ], 
        "name": "Next-generation DNA sequencing", 
        "pagination": "1135-1145", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1005954516"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nbt1486"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "18846087"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nbt1486", 
          "https://app.dimensions.ai/details/publication/pub.1005954516"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:27", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_463.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/nbt1486"
      }
    ]
     

    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/nbt1486'

    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/nbt1486'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nbt1486'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nbt1486'


     

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

    274 TRIPLES      21 PREDICATES      117 URIs      77 LITERALS      12 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nbt1486 schema:about N24dc03811a1741dfa95cd92ef6038d8b
    2 N396dc4f4bed54df89bd5f1a6b23d5406
    3 Nb5834dd9542d4210997d8c5fcc019944
    4 Nb6428212f1e349a2a453718cd97c4c60
    5 Ncc48ac52c66f40e9b1fc543fb9c638c3
    6 anzsrc-for:06
    7 anzsrc-for:0604
    8 schema:author N2edf75455d494ad6bf157b9a4174223f
    9 schema:citation sg:pub.10.1038/265687a0
    10 sg:pub.10.1038/76469
    11 sg:pub.10.1038/898
    12 sg:pub.10.1038/nature03959
    13 sg:pub.10.1038/nature06067
    14 sg:pub.10.1038/nature06884
    15 sg:pub.10.1038/nature07002
    16 sg:pub.10.1038/nbt0198-54
    17 sg:pub.10.1038/nbt1405
    18 sg:pub.10.1038/nbt871
    19 sg:pub.10.1038/nbt951
    20 sg:pub.10.1038/ng.128
    21 sg:pub.10.1038/ng.2007.42
    22 sg:pub.10.1038/ng1201-365
    23 sg:pub.10.1038/nmeth.1172
    24 sg:pub.10.1038/nmeth.1185
    25 sg:pub.10.1038/nmeth.1223
    26 sg:pub.10.1038/nmeth.1226
    27 sg:pub.10.1038/nmeth0105-63
    28 sg:pub.10.1038/nmeth1068
    29 sg:pub.10.1038/nmeth1109
    30 sg:pub.10.1038/nmeth1110
    31 sg:pub.10.1038/nmeth1111
    32 sg:pub.10.1038/nmeth1157
    33 sg:pub.10.1038/nmeth733
    34 sg:pub.10.1038/nmeth805
    35 sg:pub.10.1038/nprot.2007.520
    36 sg:pub.10.1038/nrg1325
    37 sg:pub.10.1038/nrg2335
    38 sg:pub.10.1186/1471-2105-6-31
    39 sg:pub.10.1186/1471-2105-9-128
    40 sg:pub.10.1186/1471-2164-7-246
    41 schema:datePublished 2008-10-09
    42 schema:datePublishedReg 2008-10-09
    43 schema:description DNA sequence represents a single format onto which a broad range of biological phenomena can be projected for high-throughput data collection. Over the past three years, massively parallel DNA sequencing platforms have become widely available, reducing the cost of DNA sequencing by over two orders of magnitude, and democratizing the field by putting the sequencing capacity of a major genome center in the hands of individual investigators. These new technologies are rapidly evolving, and near-term challenges include the development of robust protocols for generating sequencing libraries, building effective new approaches to data-analysis, and often a rethinking of experimental design. Next-generation DNA sequencing has the potential to dramatically accelerate biological and biomedical research, by enabling the comprehensive analysis of genomes, transcriptomes and interactomes to become inexpensive, routine and widespread, rather than requiring significant production-scale efforts.
    44 schema:genre article
    45 schema:isAccessibleForFree false
    46 schema:isPartOf N6f1a9a60c67e4b1095128970ea02f9cb
    47 Nb738602476994e9d8e6d3b8669c9a05c
    48 sg:journal.1115214
    49 schema:keywords DNA sequences
    50 DNA sequencing
    51 DNA sequencing platforms
    52 Genome Center
    53 analysis
    54 approach
    55 biological phenomena
    56 biomedical research
    57 broad range
    58 capacity
    59 center
    60 challenges
    61 collection
    62 comprehensive analysis
    63 cost
    64 data collection
    65 design
    66 development
    67 effective new approach
    68 efforts
    69 experimental design
    70 field
    71 format
    72 genome
    73 hand
    74 high-throughput data collection
    75 individual investigators
    76 interactome
    77 investigators
    78 library
    79 magnitude
    80 near-term challenges
    81 new approach
    82 new technologies
    83 next-generation DNA sequencing
    84 order
    85 orders of magnitude
    86 parallel DNA sequencing platforms
    87 phenomenon
    88 platform
    89 potential
    90 protocol
    91 range
    92 research
    93 rethinking
    94 robust protocol
    95 sequence
    96 sequencing
    97 sequencing capacity
    98 sequencing libraries
    99 sequencing platforms
    100 single format
    101 technology
    102 transcriptome
    103 years
    104 schema:name Next-generation DNA sequencing
    105 schema:pagination 1135-1145
    106 schema:productId N482ea211cf6443248c002bbd96b24103
    107 N4f39c401fc3941228c0988317edff84f
    108 N61e27c41b436435fac9578121a35884d
    109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005954516
    110 https://doi.org/10.1038/nbt1486
    111 schema:sdDatePublished 2022-12-01T06:27
    112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    113 schema:sdPublisher Na643f0910b1b48bb856368dbe629373f
    114 schema:url https://doi.org/10.1038/nbt1486
    115 sgo:license sg:explorer/license/
    116 sgo:sdDataset articles
    117 rdf:type schema:ScholarlyArticle
    118 N24dc03811a1741dfa95cd92ef6038d8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Forecasting
    120 rdf:type schema:DefinedTerm
    121 N2edf75455d494ad6bf157b9a4174223f rdf:first sg:person.01221110417.53
    122 rdf:rest Ndd087c16efbc4fed88e842a41d371837
    123 N396dc4f4bed54df89bd5f1a6b23d5406 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Chromosome Mapping
    125 rdf:type schema:DefinedTerm
    126 N482ea211cf6443248c002bbd96b24103 schema:name doi
    127 schema:value 10.1038/nbt1486
    128 rdf:type schema:PropertyValue
    129 N4f39c401fc3941228c0988317edff84f schema:name pubmed_id
    130 schema:value 18846087
    131 rdf:type schema:PropertyValue
    132 N61e27c41b436435fac9578121a35884d schema:name dimensions_id
    133 schema:value pub.1005954516
    134 rdf:type schema:PropertyValue
    135 N6f1a9a60c67e4b1095128970ea02f9cb schema:volumeNumber 26
    136 rdf:type schema:PublicationVolume
    137 Na643f0910b1b48bb856368dbe629373f schema:name Springer Nature - SN SciGraph project
    138 rdf:type schema:Organization
    139 Nb5834dd9542d4210997d8c5fcc019944 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Genomics
    141 rdf:type schema:DefinedTerm
    142 Nb6428212f1e349a2a453718cd97c4c60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Sequence Alignment
    144 rdf:type schema:DefinedTerm
    145 Nb738602476994e9d8e6d3b8669c9a05c schema:issueNumber 10
    146 rdf:type schema:PublicationIssue
    147 Ncc48ac52c66f40e9b1fc543fb9c638c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Sequence Analysis, DNA
    149 rdf:type schema:DefinedTerm
    150 Ndd087c16efbc4fed88e842a41d371837 rdf:first sg:person.0637505217.49
    151 rdf:rest rdf:nil
    152 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    153 schema:name Biological Sciences
    154 rdf:type schema:DefinedTerm
    155 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    156 schema:name Genetics
    157 rdf:type schema:DefinedTerm
    158 sg:journal.1115214 schema:issn 1087-0156
    159 1546-1696
    160 schema:name Nature Biotechnology
    161 schema:publisher Springer Nature
    162 rdf:type schema:Periodical
    163 sg:person.01221110417.53 schema:affiliation grid-institutes:grid.34477.33
    164 schema:familyName Shendure
    165 schema:givenName Jay
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221110417.53
    167 rdf:type schema:Person
    168 sg:person.0637505217.49 schema:affiliation grid-institutes:grid.168010.e
    169 schema:familyName Ji
    170 schema:givenName Hanlee
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637505217.49
    172 rdf:type schema:Person
    173 sg:pub.10.1038/265687a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046070913
    174 https://doi.org/10.1038/265687a0
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1038/76469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028559169
    177 https://doi.org/10.1038/76469
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1038/898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011027937
    180 https://doi.org/10.1038/898
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1038/nature03959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574562
    183 https://doi.org/10.1038/nature03959
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1038/nature06067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035232209
    186 https://doi.org/10.1038/nature06067
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1038/nature06884 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047672670
    189 https://doi.org/10.1038/nature06884
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1038/nature07002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044718936
    192 https://doi.org/10.1038/nature07002
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1038/nbt0198-54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022661727
    195 https://doi.org/10.1038/nbt0198-54
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1038/nbt1405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001541002
    198 https://doi.org/10.1038/nbt1405
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1038/nbt871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006917762
    201 https://doi.org/10.1038/nbt871
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1038/nbt951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030413232
    204 https://doi.org/10.1038/nbt951
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1038/ng.128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047246435
    207 https://doi.org/10.1038/ng.128
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1038/ng.2007.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012402265
    210 https://doi.org/10.1038/ng.2007.42
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1038/ng1201-365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003793347
    213 https://doi.org/10.1038/ng1201-365
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1038/nmeth.1172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020593059
    216 https://doi.org/10.1038/nmeth.1172
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1038/nmeth.1185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034942023
    219 https://doi.org/10.1038/nmeth.1185
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1038/nmeth.1223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048586936
    222 https://doi.org/10.1038/nmeth.1223
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/nmeth.1226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045381177
    225 https://doi.org/10.1038/nmeth.1226
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/nmeth0105-63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051721477
    228 https://doi.org/10.1038/nmeth0105-63
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/nmeth1068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036304799
    231 https://doi.org/10.1038/nmeth1068
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/nmeth1109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009647980
    234 https://doi.org/10.1038/nmeth1109
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/nmeth1110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045927978
    237 https://doi.org/10.1038/nmeth1110
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/nmeth1111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025042325
    240 https://doi.org/10.1038/nmeth1111
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/nmeth1157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048416659
    243 https://doi.org/10.1038/nmeth1157
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/nmeth733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038506370
    246 https://doi.org/10.1038/nmeth733
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1038/nmeth805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051874367
    249 https://doi.org/10.1038/nmeth805
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1038/nprot.2007.520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012965453
    252 https://doi.org/10.1038/nprot.2007.520
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1038/nrg1325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041884975
    255 https://doi.org/10.1038/nrg1325
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1038/nrg2335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023482055
    258 https://doi.org/10.1038/nrg2335
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1186/1471-2105-6-31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010551629
    261 https://doi.org/10.1186/1471-2105-6-31
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1186/1471-2105-9-128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029892891
    264 https://doi.org/10.1186/1471-2105-9-128
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1186/1471-2164-7-246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026547515
    267 https://doi.org/10.1186/1471-2164-7-246
    268 rdf:type schema:CreativeWork
    269 grid-institutes:grid.168010.e schema:alternateName Stanford Genome Technology Center and Division of Oncology, Dept. of Medicine, Stanford University School of Medicine, CCSR 3215, 269 Campus Drive, 94305, Stanford, California, USA
    270 schema:name Stanford Genome Technology Center and Division of Oncology, Dept. of Medicine, Stanford University School of Medicine, CCSR 3215, 269 Campus Drive, 94305, Stanford, California, USA
    271 rdf:type schema:Organization
    272 grid-institutes:grid.34477.33 schema:alternateName Department of Genome Sciences, University of Washington, Foege Building S-250, Box 355065, 1705 NE Pacific St., 98195-5065, Seattle, Washington, USA
    273 schema:name Department of Genome Sciences, University of Washington, Foege Building S-250, Box 355065, 1705 NE Pacific St., 98195-5065, Seattle, Washington, USA
    274 rdf:type schema:Organization
     




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


    ...