Target-enrichment strategies for next-generation sequencing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-02

AUTHORS

Lira Mamanova, Alison J Coffey, Carol E Scott, Iwanka Kozarewa, Emily H Turner, Akash Kumar, Eleanor Howard, Jay Shendure, Daniel J Turner

ABSTRACT

We have not yet reached a point at which routine sequencing of large numbers of whole eukaryotic genomes is feasible, and so it is often necessary to select genomic regions of interest and to enrich these regions before sequencing. There are several enrichment approaches, each with unique advantages and disadvantages. Here we describe our experiences with the leading target-enrichment technologies, the optimizations that we have performed and typical results that can be obtained using each. We also provide detailed protocols for each technology so that end users can find the best compromise between sensitivity, specificity and uniformity for their particular project. More... »

PAGES

111

References to SciGraph publications

  • 1998-07. Mutation detection and single-molecule counting using isothermal rolling-circle amplification in NATURE GENETICS
  • 2008-11. Accurate whole human genome sequencing using reversible terminator chemistry in NATURE
  • 2007-11. Multiplex amplification of large sets of human exons in NATURE METHODS
  • 1999-10. Genome-wide mapping with biallelic markers in Arabidopsis thaliana in NATURE GENETICS
  • 1998-07. Man-made cell-like compartments for molecular evolution in NATURE BIOTECHNOLOGY
  • 2009-02. Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing in NATURE BIOTECHNOLOGY
  • 2008-12. A large genome center's improvements to the Illumina sequencing system in NATURE METHODS
  • 2007-11. Direct selection of human genomic loci by microarray hybridization in NATURE METHODS
  • 2001-12. High-throughput genotyping of single nucleotide polymorphisms with rolling circle amplification in BMC GENOMICS
  • 2009-08. Digital RNA allelotyping reveals tissue-specific and allele-specific gene expression in human in NATURE METHODS
  • 2008-10. Identification of genetic variants using bar-coded multiplexed sequencing in NATURE METHODS
  • 2009-11. Microdroplet-based PCR enrichment for large-scale targeted sequencing in NATURE BIOTECHNOLOGY
  • 2002-06. Allele-specific PCR amplification due to sequence identity between a PCR primer and an amplicon : is direct sequencing so reliable? in HUMAN GENETICS
  • 2007-10. MegaPlex PCR: a strategy for multiplex amplification in NATURE METHODS
  • 2003-06. Multiplexed genotyping with sequence-tagged molecular inversion probes in NATURE BIOTECHNOLOGY
  • 2008-10. Next-generation DNA sequencing in NATURE BIOTECHNOLOGY
  • 2009-05. Massively parallel exon capture and library-free resequencing across 16 genomes in NATURE METHODS
  • 2009-04. Targeted bisulfite sequencing reveals changes in DNA methylation associated with nuclear reprogramming in NATURE BIOTECHNOLOGY
  • 2008-03. Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex in NATURE METHODS
  • 2004-10. Finishing the euchromatic sequence of the human genome in NATURE
  • 2009-06. Hybrid selection of discrete genomic intervals on custom-designed microarrays for massively parallel sequencing in NATURE PROTOCOLS
  • 2007-11. Microarray-based genomic selection for high-throughput resequencing in NATURE METHODS
  • 2007-12. Genome-wide in situ exon capture for selective resequencing in NATURE GENETICS
  • Journal

    TITLE

    Nature Methods

    ISSUE

    2

    VOLUME

    7

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.1419

    DOI

    http://dx.doi.org/10.1038/nmeth.1419

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1042265948

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20111037


    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": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Forecasting", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Targeting", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "In Situ Hybridization", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Probe Techniques", 
            "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": "Wellcome Sanger Institute", 
              "id": "https://www.grid.ac/institutes/grid.10306.34", 
              "name": [
                "The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mamanova", 
            "givenName": "Lira", 
            "id": "sg:person.01022316537.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022316537.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wellcome Sanger Institute", 
              "id": "https://www.grid.ac/institutes/grid.10306.34", 
              "name": [
                "The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Coffey", 
            "givenName": "Alison J", 
            "id": "sg:person.01324135245.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324135245.00"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wellcome Sanger Institute", 
              "id": "https://www.grid.ac/institutes/grid.10306.34", 
              "name": [
                "The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Scott", 
            "givenName": "Carol E", 
            "id": "sg:person.01054306366.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054306366.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wellcome Sanger Institute", 
              "id": "https://www.grid.ac/institutes/grid.10306.34", 
              "name": [
                "The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kozarewa", 
            "givenName": "Iwanka", 
            "id": "sg:person.0755560566.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755560566.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Washington", 
              "id": "https://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Department of Genome Sciences, University of Washington, Seattle, Washington, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turner", 
            "givenName": "Emily H", 
            "id": "sg:person.01146762730.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146762730.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Washington", 
              "id": "https://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Department of Genome Sciences, University of Washington, Seattle, Washington, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kumar", 
            "givenName": "Akash", 
            "id": "sg:person.0610144274.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610144274.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wellcome Sanger Institute", 
              "id": "https://www.grid.ac/institutes/grid.10306.34", 
              "name": [
                "The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Howard", 
            "givenName": "Eleanor", 
            "id": "sg:person.0736716345.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736716345.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Washington", 
              "id": "https://www.grid.ac/institutes/grid.34477.33", 
              "name": [
                "Department of Genome Sciences, University of Washington, 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": "Wellcome Sanger Institute", 
              "id": "https://www.grid.ac/institutes/grid.10306.34", 
              "name": [
                "The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turner", 
            "givenName": "Daniel J", 
            "id": "sg:person.01352235517.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352235517.68"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1101/gr.078204.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000043814"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth1091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002132889", 
              "https://doi.org/10.1038/nmeth1091"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1251", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003153857", 
              "https://doi.org/10.1038/nmeth.1251"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005954516", 
              "https://doi.org/10.1038/nbt1486"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt821", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008728252", 
              "https://doi.org/10.1038/nbt821"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt821", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008728252", 
              "https://doi.org/10.1038/nbt821"
            ], 
            "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/nprot.2009.68", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009828502", 
              "https://doi.org/10.1038/nprot.2009.68"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2009.68", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009828502", 
              "https://doi.org/10.1038/nprot.2009.68"
            ], 
            "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.10.1038/898", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011027937", 
              "https://doi.org/10.1038/898"
            ], 
            "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/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": "sg:pub.10.1038/nmeth.1270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021189255", 
              "https://doi.org/10.1038/nmeth.1270"
            ], 
            "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": "https://doi.org/10.1002/jmr.664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024151396"
            ], 
            "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/10.1073/pnas.74.12.5463", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025360556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.91.6.2216", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026918128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2007.12.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027335183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1357", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028738348", 
              "https://doi.org/10.1038/nmeth.1357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.3185605", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029969824"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0702165104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030762542"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031583743", 
              "https://doi.org/10.1038/nbt.1530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/13833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031761902", 
              "https://doi.org/10.1038/13833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/13833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031761902", 
              "https://doi.org/10.1038/13833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-002-0735-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032126203", 
              "https://doi.org/10.1007/s00439-002-0735-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-002-0735-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032126203", 
              "https://doi.org/10.1007/s00439-002-0735-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0798-652", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033712419", 
              "https://doi.org/10.1038/nbt0798-652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm078", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036425637"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkn502", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037164940"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038266369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.88.21.9623", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039166499"
            ], 
            "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.10.1186/1471-2164-2-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042510833", 
              "https://doi.org/10.1186/1471-2164-2-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1184", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042740345", 
              "https://doi.org/10.1038/nmeth.1184"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gni070", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043825959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1133470100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045398840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1170995", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045528445"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1170995", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045528445"
            ], 
            "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": "https://doi.org/10.1002/j.1538-7305.1950.tb00463.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047158404"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.078212.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047542880"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/28.12.e58", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049604600"
            ], 
            "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": "https://doi.org/10.1073/pnas.88.21.9628", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053104282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.2448875", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062538000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.280.5366.1077", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062561068"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.7522346", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062647427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2144/000113082", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069095977"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.239.4839.487", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101677454"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-02", 
        "datePublishedReg": "2010-02-01", 
        "description": "We have not yet reached a point at which routine sequencing of large numbers of whole eukaryotic genomes is feasible, and so it is often necessary to select genomic regions of interest and to enrich these regions before sequencing. There are several enrichment approaches, each with unique advantages and disadvantages. Here we describe our experiences with the leading target-enrichment technologies, the optimizations that we have performed and typical results that can be obtained using each. We also provide detailed protocols for each technology so that end users can find the best compromise between sensitivity, specificity and uniformity for their particular project.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nmeth.1419", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2613384", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2542375", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1033763", 
            "issn": [
              "1548-7091", 
              "1548-7105"
            ], 
            "name": "Nature Methods", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "7"
          }
        ], 
        "name": "Target-enrichment strategies for next-generation sequencing", 
        "pagination": "111", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c9557915396759fe4c9a93bc78476f04756660511351db56b8846c3466594d09"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "20111037"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101215604"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nmeth.1419"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1042265948"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nmeth.1419", 
          "https://app.dimensions.ai/details/publication/pub.1042265948"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:58", 
        "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/v90/0000000347_0000000347/records_89812_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/nmeth.1419"
      }
    ]
     

    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/nmeth.1419'

    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/nmeth.1419'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1419'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1419'


     

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

    321 TRIPLES      21 PREDICATES      82 URIs      28 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nmeth.1419 schema:about N3a5705c7b1194afa8ce94aae977bee27
    2 N55d6442bef244fe894447dc137acbae5
    3 Nc4e713121a044a02a674bd97e118e138
    4 Ncc4c75ed832c4dd792b1fb2db3f9c933
    5 Nd54d088649ff420ca9d16a4cbaaa639a
    6 Ndd149ea187e743fe8abfa368fa21bcc3
    7 Nf08a38936fa245419887cd0b1e7ba5ee
    8 anzsrc-for:06
    9 anzsrc-for:0604
    10 schema:author Na4539fa84ced4c53ba2555f1a4a5911e
    11 schema:citation sg:pub.10.1007/s00439-002-0735-1
    12 sg:pub.10.1038/13833
    13 sg:pub.10.1038/898
    14 sg:pub.10.1038/nature03001
    15 sg:pub.10.1038/nature07517
    16 sg:pub.10.1038/nbt.1523
    17 sg:pub.10.1038/nbt.1530
    18 sg:pub.10.1038/nbt.1583
    19 sg:pub.10.1038/nbt0798-652
    20 sg:pub.10.1038/nbt1486
    21 sg:pub.10.1038/nbt821
    22 sg:pub.10.1038/ng.2007.42
    23 sg:pub.10.1038/nmeth.1184
    24 sg:pub.10.1038/nmeth.1251
    25 sg:pub.10.1038/nmeth.1270
    26 sg:pub.10.1038/nmeth.1357
    27 sg:pub.10.1038/nmeth.f.248
    28 sg:pub.10.1038/nmeth1091
    29 sg:pub.10.1038/nmeth1109
    30 sg:pub.10.1038/nmeth1110
    31 sg:pub.10.1038/nmeth1111
    32 sg:pub.10.1038/nprot.2009.68
    33 sg:pub.10.1186/1471-2164-2-4
    34 https://doi.org/10.1002/j.1538-7305.1950.tb00463.x
    35 https://doi.org/10.1002/jmr.664
    36 https://doi.org/10.1016/j.tig.2007.12.007
    37 https://doi.org/10.1073/pnas.0702165104
    38 https://doi.org/10.1073/pnas.1133470100
    39 https://doi.org/10.1073/pnas.74.12.5463
    40 https://doi.org/10.1073/pnas.88.21.9623
    41 https://doi.org/10.1073/pnas.88.21.9628
    42 https://doi.org/10.1073/pnas.91.6.2216
    43 https://doi.org/10.1093/bioinformatics/btp324
    44 https://doi.org/10.1093/nar/28.12.e58
    45 https://doi.org/10.1093/nar/gkm078
    46 https://doi.org/10.1093/nar/gkn502
    47 https://doi.org/10.1093/nar/gni070
    48 https://doi.org/10.1101/gr.078204.108
    49 https://doi.org/10.1101/gr.078212.108
    50 https://doi.org/10.1101/gr.3185605
    51 https://doi.org/10.1126/science.1170995
    52 https://doi.org/10.1126/science.239.4839.487
    53 https://doi.org/10.1126/science.2448875
    54 https://doi.org/10.1126/science.280.5366.1077
    55 https://doi.org/10.1126/science.7522346
    56 https://doi.org/10.2144/000113082
    57 schema:datePublished 2010-02
    58 schema:datePublishedReg 2010-02-01
    59 schema:description We have not yet reached a point at which routine sequencing of large numbers of whole eukaryotic genomes is feasible, and so it is often necessary to select genomic regions of interest and to enrich these regions before sequencing. There are several enrichment approaches, each with unique advantages and disadvantages. Here we describe our experiences with the leading target-enrichment technologies, the optimizations that we have performed and typical results that can be obtained using each. We also provide detailed protocols for each technology so that end users can find the best compromise between sensitivity, specificity and uniformity for their particular project.
    60 schema:genre research_article
    61 schema:inLanguage en
    62 schema:isAccessibleForFree false
    63 schema:isPartOf N1ffe29da75ee489abe8fe1fbe985d931
    64 N803b0a681c1f46558dfcf2ae8cf4d7f0
    65 sg:journal.1033763
    66 schema:name Target-enrichment strategies for next-generation sequencing
    67 schema:pagination 111
    68 schema:productId N228a684ef6ff485684c158261da21e28
    69 N91e572196eb84d77b03419cd7736e96f
    70 N91fc18f251be4875848bf94e3b778855
    71 N9a4d5786a4574a41b5d32e0f41ff20d0
    72 Nc75e16e835e24fee9d61d595d5681480
    73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042265948
    74 https://doi.org/10.1038/nmeth.1419
    75 schema:sdDatePublished 2019-04-11T09:58
    76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    77 schema:sdPublisher N40f3d7326f9f47e09a501c834e84b431
    78 schema:url https://www.nature.com/articles/nmeth.1419
    79 sgo:license sg:explorer/license/
    80 sgo:sdDataset articles
    81 rdf:type schema:ScholarlyArticle
    82 N1ffe29da75ee489abe8fe1fbe985d931 schema:volumeNumber 7
    83 rdf:type schema:PublicationVolume
    84 N228a684ef6ff485684c158261da21e28 schema:name nlm_unique_id
    85 schema:value 101215604
    86 rdf:type schema:PropertyValue
    87 N3a5705c7b1194afa8ce94aae977bee27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    88 schema:name Sequence Analysis, DNA
    89 rdf:type schema:DefinedTerm
    90 N40f3d7326f9f47e09a501c834e84b431 schema:name Springer Nature - SN SciGraph project
    91 rdf:type schema:Organization
    92 N4d6746f318c54a498bfabad50bc95cd8 rdf:first sg:person.01146762730.66
    93 rdf:rest Nee3e7ecfac9f4096b41e8b09fd912804
    94 N55d6442bef244fe894447dc137acbae5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    95 schema:name Gene Targeting
    96 rdf:type schema:DefinedTerm
    97 N5cfad0f354ca4598afaf9af8571f594f rdf:first sg:person.01352235517.68
    98 rdf:rest rdf:nil
    99 N803b0a681c1f46558dfcf2ae8cf4d7f0 schema:issueNumber 2
    100 rdf:type schema:PublicationIssue
    101 N828d209b56af4b81ad80cd4cf783407e rdf:first sg:person.0755560566.43
    102 rdf:rest N4d6746f318c54a498bfabad50bc95cd8
    103 N91e572196eb84d77b03419cd7736e96f schema:name dimensions_id
    104 schema:value pub.1042265948
    105 rdf:type schema:PropertyValue
    106 N91fc18f251be4875848bf94e3b778855 schema:name readcube_id
    107 schema:value c9557915396759fe4c9a93bc78476f04756660511351db56b8846c3466594d09
    108 rdf:type schema:PropertyValue
    109 N9a4d5786a4574a41b5d32e0f41ff20d0 schema:name pubmed_id
    110 schema:value 20111037
    111 rdf:type schema:PropertyValue
    112 Na4539fa84ced4c53ba2555f1a4a5911e rdf:first sg:person.01022316537.17
    113 rdf:rest Nf18f3ef12707450d87631a6f694d3e9e
    114 Nbd6a748389f64f1aacdb4d989e3e6180 rdf:first sg:person.0736716345.19
    115 rdf:rest Nf28c7ab2295940e3bd0e08a9438fb738
    116 Nc4e713121a044a02a674bd97e118e138 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Forecasting
    118 rdf:type schema:DefinedTerm
    119 Nc75e16e835e24fee9d61d595d5681480 schema:name doi
    120 schema:value 10.1038/nmeth.1419
    121 rdf:type schema:PropertyValue
    122 Ncc4c75ed832c4dd792b1fb2db3f9c933 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Molecular Probe Techniques
    124 rdf:type schema:DefinedTerm
    125 Nd54d088649ff420ca9d16a4cbaaa639a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name In Situ Hybridization
    127 rdf:type schema:DefinedTerm
    128 Ndb9206cb035f470e809ad2be2a6aad17 rdf:first sg:person.01054306366.82
    129 rdf:rest N828d209b56af4b81ad80cd4cf783407e
    130 Ndd149ea187e743fe8abfa368fa21bcc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Polymerase Chain Reaction
    132 rdf:type schema:DefinedTerm
    133 Nee3e7ecfac9f4096b41e8b09fd912804 rdf:first sg:person.0610144274.18
    134 rdf:rest Nbd6a748389f64f1aacdb4d989e3e6180
    135 Nf08a38936fa245419887cd0b1e7ba5ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Chromosome Mapping
    137 rdf:type schema:DefinedTerm
    138 Nf18f3ef12707450d87631a6f694d3e9e rdf:first sg:person.01324135245.00
    139 rdf:rest Ndb9206cb035f470e809ad2be2a6aad17
    140 Nf28c7ab2295940e3bd0e08a9438fb738 rdf:first sg:person.01221110417.53
    141 rdf:rest N5cfad0f354ca4598afaf9af8571f594f
    142 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    143 schema:name Biological Sciences
    144 rdf:type schema:DefinedTerm
    145 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    146 schema:name Genetics
    147 rdf:type schema:DefinedTerm
    148 sg:grant.2542375 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1419
    149 rdf:type schema:MonetaryGrant
    150 sg:grant.2613384 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1419
    151 rdf:type schema:MonetaryGrant
    152 sg:journal.1033763 schema:issn 1548-7091
    153 1548-7105
    154 schema:name Nature Methods
    155 rdf:type schema:Periodical
    156 sg:person.01022316537.17 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
    157 schema:familyName Mamanova
    158 schema:givenName Lira
    159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022316537.17
    160 rdf:type schema:Person
    161 sg:person.01054306366.82 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
    162 schema:familyName Scott
    163 schema:givenName Carol E
    164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054306366.82
    165 rdf:type schema:Person
    166 sg:person.01146762730.66 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    167 schema:familyName Turner
    168 schema:givenName Emily H
    169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146762730.66
    170 rdf:type schema:Person
    171 sg:person.01221110417.53 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    172 schema:familyName Shendure
    173 schema:givenName Jay
    174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221110417.53
    175 rdf:type schema:Person
    176 sg:person.01324135245.00 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
    177 schema:familyName Coffey
    178 schema:givenName Alison J
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324135245.00
    180 rdf:type schema:Person
    181 sg:person.01352235517.68 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
    182 schema:familyName Turner
    183 schema:givenName Daniel J
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352235517.68
    185 rdf:type schema:Person
    186 sg:person.0610144274.18 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    187 schema:familyName Kumar
    188 schema:givenName Akash
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610144274.18
    190 rdf:type schema:Person
    191 sg:person.0736716345.19 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
    192 schema:familyName Howard
    193 schema:givenName Eleanor
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736716345.19
    195 rdf:type schema:Person
    196 sg:person.0755560566.43 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
    197 schema:familyName Kozarewa
    198 schema:givenName Iwanka
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755560566.43
    200 rdf:type schema:Person
    201 sg:pub.10.1007/s00439-002-0735-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032126203
    202 https://doi.org/10.1007/s00439-002-0735-1
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1038/13833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031761902
    205 https://doi.org/10.1038/13833
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011027937
    208 https://doi.org/10.1038/898
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1038/nature03001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013534924
    211 https://doi.org/10.1038/nature03001
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1038/nature07517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052925719
    214 https://doi.org/10.1038/nature07517
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1038/nbt.1523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040653661
    217 https://doi.org/10.1038/nbt.1523
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/nbt.1530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031583743
    220 https://doi.org/10.1038/nbt.1530
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1038/nbt.1583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022555745
    223 https://doi.org/10.1038/nbt.1583
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/nbt0798-652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033712419
    226 https://doi.org/10.1038/nbt0798-652
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/nbt1486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005954516
    229 https://doi.org/10.1038/nbt1486
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/nbt821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008728252
    232 https://doi.org/10.1038/nbt821
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1038/ng.2007.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012402265
    235 https://doi.org/10.1038/ng.2007.42
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/nmeth.1184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042740345
    238 https://doi.org/10.1038/nmeth.1184
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/nmeth.1251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003153857
    241 https://doi.org/10.1038/nmeth.1251
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nmeth.1270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021189255
    244 https://doi.org/10.1038/nmeth.1270
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nmeth.1357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028738348
    247 https://doi.org/10.1038/nmeth.1357
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/nmeth.f.248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014925042
    250 https://doi.org/10.1038/nmeth.f.248
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/nmeth1091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002132889
    253 https://doi.org/10.1038/nmeth1091
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nmeth1109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009647980
    256 https://doi.org/10.1038/nmeth1109
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nmeth1110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045927978
    259 https://doi.org/10.1038/nmeth1110
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/nmeth1111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025042325
    262 https://doi.org/10.1038/nmeth1111
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/nprot.2009.68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009828502
    265 https://doi.org/10.1038/nprot.2009.68
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1186/1471-2164-2-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042510833
    268 https://doi.org/10.1186/1471-2164-2-4
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1002/j.1538-7305.1950.tb00463.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047158404
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1002/jmr.664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024151396
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1016/j.tig.2007.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027335183
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1073/pnas.0702165104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030762542
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1073/pnas.1133470100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045398840
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1073/pnas.74.12.5463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025360556
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1073/pnas.88.21.9623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039166499
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1073/pnas.88.21.9628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053104282
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1073/pnas.91.6.2216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026918128
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1093/nar/28.12.e58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049604600
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1093/nar/gkm078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036425637
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1093/nar/gkn502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037164940
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1093/nar/gni070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043825959
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1101/gr.078204.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000043814
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1101/gr.078212.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047542880
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1101/gr.3185605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029969824
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1126/science.1170995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045528445
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1126/science.239.4839.487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101677454
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1126/science.2448875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062538000
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1126/science.280.5366.1077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062561068
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1126/science.7522346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062647427
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.2144/000113082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069095977
    315 rdf:type schema:CreativeWork
    316 https://www.grid.ac/institutes/grid.10306.34 schema:alternateName Wellcome Sanger Institute
    317 schema:name The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
    318 rdf:type schema:Organization
    319 https://www.grid.ac/institutes/grid.34477.33 schema:alternateName University of Washington
    320 schema:name Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
    321 rdf:type schema:Organization
     




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


    ...