Parallel, tag-directed assembly of locally derived short sequence reads View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-02

AUTHORS

Joseph B Hiatt, Rupali P Patwardhan, Emily H Turner, Choli Lee, Jay Shendure

ABSTRACT

We demonstrate subassembly, an in vitro library construction method that extends the utility of short-read sequencing platforms to applications requiring long, accurate reads. A long DNA fragment library is converted to a population of nested sublibraries, and a tag sequence directs grouping of short reads derived from the same long fragment, enabling localized assembly of long fragment sequences. Subassembly may facilitate accurate de novo genome assembly and metagenome sequencing. More... »

PAGES

119

References to SciGraph publications

Journal

TITLE

Nature Methods

ISSUE

2

VOLUME

7

Author Affiliations

Related Patents

  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Methods For Paired-End Sequencing Of Polynucleotides
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Safe Sequencing System
  • 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 Processing Polynucleotides
  • Methods And Systems For Processing Polynucleotides
  • Capsule Array Devices And Methods Of Use
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods And Systems For Digitally Counting Features On Arrays
  • Methods And Systems For Processing Polynucleotides
  • Methods And Systems For Determining Spatial Patterns Of Biological Targets In A Sample
  • High-Throughput Assembly Of Genetic Elements
  • Spatially Encoded Biological Assays
  • Massively Parallel Continguity Mapping
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Fluidic Devices, Systems, And Methods For Encapsulating And Partitioning Reagents, And Applications Of Same
  • Methods And Systems For Processing Polynucleotides
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Spatially Encoded Biological Assays Using A Microfluidic Device
  • Methods For Retrieval Of Sequence-Verified Dna Constructs
  • Massively Parallel Single Cell Analysis
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Label-Tags
  • Spatially Addressable Molecular Barcoding
  • Spatially Addressable Molecular Barcoding
  • Varietal Counting Of Nucleic Acids For Obtaining Genomic Copy Number Information
  • Sample Preparation On A Solid Support
  • Methods And Systems For Detecting Genetic Variants
  • Methods And Systems For Processing Polynucleotides
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Methods For Paired-End Sequencing Of Polynucleotides
  • Peptide Constructs And Assay Systems
  • Genetic Analysis Method
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Systems And Methods To Detect Rare Mutations And Copy Number Variation
  • Sample Preparation On A Solid Support
  • Massively Parallel Single Cell Analysis
  • Digital Counting Of Individual Molecules By Stochastic Attachment Of Diverse Labels
  • Massively Parallel Single Cell Analysis
  • Massively Parallel Single Cell Analysis
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.1416

    DOI

    http://dx.doi.org/10.1038/nmeth.1416

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1025089276

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20081835


    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": "Base Sequence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Expressed Sequence Tags", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Sequence Data", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "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": "Hiatt", 
            "givenName": "Joseph B", 
            "id": "sg:person.01355355742.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355355742.29"
            ], 
            "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": "Patwardhan", 
            "givenName": "Rupali P", 
            "id": "sg:person.01154431563.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154431563.34"
            ], 
            "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": "Lee", 
            "givenName": "Choli", 
            "id": "sg:person.014504652317.99", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014504652317.99"
            ], 
            "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"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nmeth.1179", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001773338", 
              "https://doi.org/10.1038/nmeth.1179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005954516", 
              "https://doi.org/10.1038/nbt1486"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.085464.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008175546"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1358", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008886215", 
              "https://doi.org/10.1038/nmeth.1358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1358", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008886215", 
              "https://doi.org/10.1038/nmeth.1358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1170020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010228495"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.083311.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011112451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.089532.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011404279"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/27.23.4636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012730605"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1399-0039.2009.01345.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015186110"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1399-0039.2009.01345.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015186110"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03959", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021574562", 
              "https://doi.org/10.1038/nature03959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature03959", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021574562", 
              "https://doi.org/10.1038/nature03959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1488", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023207290", 
              "https://doi.org/10.1038/nbt.1488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.287.5461.2196", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030783427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35023079", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035237070", 
              "https://doi.org/10.1038/35023079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35023079", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035237070", 
              "https://doi.org/10.1038/35023079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.8.3.186", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038920266"
            ], 
            "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": "https://doi.org/10.1093/nar/25.17.3389", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047265454"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.8.3.175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048253030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2009-10-3-r25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049583368", 
              "https://doi.org/10.1186/gb-2009-10-3-r25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.074492.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051720574"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2010-02", 
        "datePublishedReg": "2010-02-01", 
        "description": "We demonstrate subassembly, an in vitro library construction method that extends the utility of short-read sequencing platforms to applications requiring long, accurate reads. A long DNA fragment library is converted to a population of nested sublibraries, and a tag sequence directs grouping of short reads derived from the same long fragment, enabling localized assembly of long fragment sequences. Subassembly may facilitate accurate de novo genome assembly and metagenome sequencing.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nmeth.1416", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.2683717", 
            "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": "Parallel, tag-directed assembly of locally derived short sequence reads", 
        "pagination": "119", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "77868163f5dbfb2c89e55f779189842bbd2df94d3681fc39a6e56118ba81a8d7"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "20081835"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101215604"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nmeth.1416"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1025089276"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nmeth.1416", 
          "https://app.dimensions.ai/details/publication/pub.1025089276"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:51", 
        "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_89789_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/nmeth.1416"
      }
    ]
     

    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.1416'

    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.1416'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1416'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1416'


     

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

    184 TRIPLES      21 PREDICATES      53 URIs      26 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nmeth.1416 schema:about N54f89beb47b2455b85944c0d98c0b84b
    2 N7839526045134ee984a305dd02fa843f
    3 Nadb4e6b042bf453cbad012229e80a2c5
    4 Nb80d4ede027b433f9858ca4c89e83688
    5 Ndec21126615e4da3ba8908433aeca566
    6 anzsrc-for:06
    7 anzsrc-for:0604
    8 schema:author Nc1d82e933e46461e8303a221f76eea3f
    9 schema:citation sg:pub.10.1038/35023079
    10 sg:pub.10.1038/nature03959
    11 sg:pub.10.1038/nbt.1488
    12 sg:pub.10.1038/nbt1486
    13 sg:pub.10.1038/nmeth.1179
    14 sg:pub.10.1038/nmeth.1226
    15 sg:pub.10.1038/nmeth.1358
    16 sg:pub.10.1186/gb-2009-10-3-r25
    17 https://doi.org/10.1093/nar/25.17.3389
    18 https://doi.org/10.1093/nar/27.23.4636
    19 https://doi.org/10.1101/gr.074492.107
    20 https://doi.org/10.1101/gr.083311.108
    21 https://doi.org/10.1101/gr.085464.108
    22 https://doi.org/10.1101/gr.089532.108
    23 https://doi.org/10.1101/gr.8.3.175
    24 https://doi.org/10.1101/gr.8.3.186
    25 https://doi.org/10.1111/j.1399-0039.2009.01345.x
    26 https://doi.org/10.1126/science.1170020
    27 https://doi.org/10.1126/science.287.5461.2196
    28 schema:datePublished 2010-02
    29 schema:datePublishedReg 2010-02-01
    30 schema:description We demonstrate subassembly, an in vitro library construction method that extends the utility of short-read sequencing platforms to applications requiring long, accurate reads. A long DNA fragment library is converted to a population of nested sublibraries, and a tag sequence directs grouping of short reads derived from the same long fragment, enabling localized assembly of long fragment sequences. Subassembly may facilitate accurate de novo genome assembly and metagenome sequencing.
    31 schema:genre research_article
    32 schema:inLanguage en
    33 schema:isAccessibleForFree true
    34 schema:isPartOf Na558daed5d934bd1be4bf261ea2c8d61
    35 Na7e1982316d94e548f61348c69333dcb
    36 sg:journal.1033763
    37 schema:name Parallel, tag-directed assembly of locally derived short sequence reads
    38 schema:pagination 119
    39 schema:productId N0b2ff9465a7f40d9a4d4754caca04838
    40 N3fc0b40bff5f4165ac2a106e6af255d3
    41 Nb9be02fbb1ca46498ad756a4256ff9d7
    42 Nebdd5869a0ce4db280ad073406816a6e
    43 Nf9e93008ba124f4a8953098be0254fdf
    44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025089276
    45 https://doi.org/10.1038/nmeth.1416
    46 schema:sdDatePublished 2019-04-11T09:51
    47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    48 schema:sdPublisher N1bbcdaf934b3453cbd94dbc2e6317e05
    49 schema:url https://www.nature.com/articles/nmeth.1416
    50 sgo:license sg:explorer/license/
    51 sgo:sdDataset articles
    52 rdf:type schema:ScholarlyArticle
    53 N0b2ff9465a7f40d9a4d4754caca04838 schema:name doi
    54 schema:value 10.1038/nmeth.1416
    55 rdf:type schema:PropertyValue
    56 N1bbcdaf934b3453cbd94dbc2e6317e05 schema:name Springer Nature - SN SciGraph project
    57 rdf:type schema:Organization
    58 N3fc0b40bff5f4165ac2a106e6af255d3 schema:name pubmed_id
    59 schema:value 20081835
    60 rdf:type schema:PropertyValue
    61 N43585a22e6994ee9bdfb2aaa2850f310 rdf:first sg:person.01154431563.34
    62 rdf:rest Naf2c39edeb3b4140af41823767eeeee4
    63 N54f89beb47b2455b85944c0d98c0b84b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    64 schema:name Chromosome Mapping
    65 rdf:type schema:DefinedTerm
    66 N7839526045134ee984a305dd02fa843f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    67 schema:name Expressed Sequence Tags
    68 rdf:type schema:DefinedTerm
    69 Na558daed5d934bd1be4bf261ea2c8d61 schema:volumeNumber 7
    70 rdf:type schema:PublicationVolume
    71 Na7e1982316d94e548f61348c69333dcb schema:issueNumber 2
    72 rdf:type schema:PublicationIssue
    73 Na91985f21f114155ac0753e37a4e44f6 rdf:first sg:person.01221110417.53
    74 rdf:rest rdf:nil
    75 Nadb4e6b042bf453cbad012229e80a2c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Sequence Analysis, DNA
    77 rdf:type schema:DefinedTerm
    78 Naf2c39edeb3b4140af41823767eeeee4 rdf:first sg:person.01146762730.66
    79 rdf:rest Nf40112048a274f0d9e79dc211ba92764
    80 Nb80d4ede027b433f9858ca4c89e83688 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    81 schema:name Molecular Sequence Data
    82 rdf:type schema:DefinedTerm
    83 Nb9be02fbb1ca46498ad756a4256ff9d7 schema:name nlm_unique_id
    84 schema:value 101215604
    85 rdf:type schema:PropertyValue
    86 Nc1d82e933e46461e8303a221f76eea3f rdf:first sg:person.01355355742.29
    87 rdf:rest N43585a22e6994ee9bdfb2aaa2850f310
    88 Ndec21126615e4da3ba8908433aeca566 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Base Sequence
    90 rdf:type schema:DefinedTerm
    91 Nebdd5869a0ce4db280ad073406816a6e schema:name dimensions_id
    92 schema:value pub.1025089276
    93 rdf:type schema:PropertyValue
    94 Nf40112048a274f0d9e79dc211ba92764 rdf:first sg:person.014504652317.99
    95 rdf:rest Na91985f21f114155ac0753e37a4e44f6
    96 Nf9e93008ba124f4a8953098be0254fdf schema:name readcube_id
    97 schema:value 77868163f5dbfb2c89e55f779189842bbd2df94d3681fc39a6e56118ba81a8d7
    98 rdf:type schema:PropertyValue
    99 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    100 schema:name Biological Sciences
    101 rdf:type schema:DefinedTerm
    102 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    103 schema:name Genetics
    104 rdf:type schema:DefinedTerm
    105 sg:grant.2683717 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1416
    106 rdf:type schema:MonetaryGrant
    107 sg:journal.1033763 schema:issn 1548-7091
    108 1548-7105
    109 schema:name Nature Methods
    110 rdf:type schema:Periodical
    111 sg:person.01146762730.66 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    112 schema:familyName Turner
    113 schema:givenName Emily H
    114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146762730.66
    115 rdf:type schema:Person
    116 sg:person.01154431563.34 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    117 schema:familyName Patwardhan
    118 schema:givenName Rupali P
    119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154431563.34
    120 rdf:type schema:Person
    121 sg:person.01221110417.53 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    122 schema:familyName Shendure
    123 schema:givenName Jay
    124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221110417.53
    125 rdf:type schema:Person
    126 sg:person.01355355742.29 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    127 schema:familyName Hiatt
    128 schema:givenName Joseph B
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01355355742.29
    130 rdf:type schema:Person
    131 sg:person.014504652317.99 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
    132 schema:familyName Lee
    133 schema:givenName Choli
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014504652317.99
    135 rdf:type schema:Person
    136 sg:pub.10.1038/35023079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035237070
    137 https://doi.org/10.1038/35023079
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1038/nature03959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574562
    140 https://doi.org/10.1038/nature03959
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1038/nbt.1488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023207290
    143 https://doi.org/10.1038/nbt.1488
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1038/nbt1486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005954516
    146 https://doi.org/10.1038/nbt1486
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1038/nmeth.1179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001773338
    149 https://doi.org/10.1038/nmeth.1179
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1038/nmeth.1226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045381177
    152 https://doi.org/10.1038/nmeth.1226
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1038/nmeth.1358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008886215
    155 https://doi.org/10.1038/nmeth.1358
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1186/gb-2009-10-3-r25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049583368
    158 https://doi.org/10.1186/gb-2009-10-3-r25
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1093/nar/25.17.3389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047265454
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1093/nar/27.23.4636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012730605
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1101/gr.074492.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051720574
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1101/gr.083311.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011112451
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1101/gr.085464.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008175546
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1101/gr.089532.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011404279
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1101/gr.8.3.175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048253030
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1101/gr.8.3.186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038920266
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.1111/j.1399-0039.2009.01345.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015186110
    177 rdf:type schema:CreativeWork
    178 https://doi.org/10.1126/science.1170020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010228495
    179 rdf:type schema:CreativeWork
    180 https://doi.org/10.1126/science.287.5461.2196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030783427
    181 rdf:type schema:CreativeWork
    182 https://www.grid.ac/institutes/grid.34477.33 schema:alternateName University of Washington
    183 schema:name Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
    184 rdf:type schema:Organization
     




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


    ...