Exploring the new world of the genome with DNA microarrays View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-01

AUTHORS

P O Brown, D Botstein

ABSTRACT

Thousands of genes are being discovered for the first time by sequencing the genomes of model organisms, an exhilarating reminder that much of the natural world remains to be explored at the molecular level. DNA microarrays provide a natural vehicle for this exploration. The model organisms are the first for which comprehensive genome-wide surveys of gene expression patterns or function are possible. The results can be viewed as maps that reflect the order and logic of the genetic program, rather than the physical order of genes on chromosomes. Exploration of the genome using DNA microarrays and other genome-scale technologies should narrow the gap in our knowledge of gene function and molecular biology between the currently-favoured model organisms and other species. More... »

PAGES

33-37

Journal

TITLE

Nature Genetics

ISSUE

1 Suppl

VOLUME

21

Author Affiliations

Related Patents

  • Plant Growth And Imaging Devices And Related Methods And Computer Program Products
  • Oxaloacetate Hydrolase Deficient Fungal Host Cells
  • Method For Detecting And Classifying Nucleic Acid Hybridization
  • Flow Cytometric Methods For The Concurrent Detection Of Discrete Functional Conformations Of Prb In Single Cells
  • Hybridization Chamber
  • Encoded Microparticles
  • Plant Growth And Imaging Devices And Related Methods And Computer Program Products
  • System And Method For Identifying Networks Of Ternary Relationships In Complex Data Systems
  • Kits For Multiplexed Nucleic Acid Analysis By Capture Of Single-Stranded Dna Produced From Double-Stranded Target Fragments
  • Analysis, Secure Access To, And Transmission Of Array Images
  • Method Using A Nonlinear Optical Technique For Detection Of Interactions Involving A Conformational Change
  • Automated Analysis Of Multiplexed Probe-Target Interaction Patterns: Pattern Matching And Allele Identification
  • Immobilization Of Bead-Displayed Ligands On Substrate Surfaces
  • Method For Identifying Hiv-1 Protease Inhibitors With Reduced Metabolic Affects
  • Measuring Apparatus For Interaction Of Biomolecule
  • Means And Methods For Classifying Samples Of Multiple Sclerosis Patients
  • Method For Identifying Hiv-1 Protease Inhibitors With Reduced Metabolic Affects Through Detection Of Human Resistin Polymorphisms
  • Clonal Pre-Amplification In Emulsion
  • Number Coding For Identification Of Subtypes Of Coded Types Of Solid Phase Carriers
  • Amylases, Nucleic Acids Encoding Them And Methods For Making And Using Them
  • System And Method For Identifying Networks Of Ternary Relationships In Complex Data Systems
  • Using Phylogenetic Probes For Quantification Of Stable Isotope Labeling And Microbial Community Analysis
  • Devices And Methods To Form A Randomly Ordered Array Of Magnetic Beads And Uses Thereof
  • Method And Nucleic Acids For The Analysis Of Colon Cell Proliferative Disorders
  • Methods For Amplifying And Detecting Multiple Polynucleotides On A Solid Phase Support
  • System And Method For Identifying Networks Or Ternary Relationships In Complex Data Systems
  • Methods For Producing Citric Acid Using Host Cells Deficient In Oxaloacetate Hydrolase
  • Pneumococcus Polysaccharide-Related Vaccines
  • Method Of Making A Microbead Array With Attached Biomolecules
  • Protein-Protein Interactions And Methods For Identifying Interacting Proteins And The Amino Acid Sequence At The Site Of Interaction
  • Method For Detecting And Classifying Nucleic Acid Hybridization
  • Computer Systems And Methods For Analyzing Experiment Design
  • Nanolipoprotein Particles Comprising A Natural Rubber Biosynthetic Enzyme Complex And Related Products, Methods And Systems
  • Detection Of Copy Number Changes In Colon Cancer
  • Multianalyte Molecular Analysis Using Application-Specific Random Particle Arrays
  • Analysis, Secure Access To, And Transmission Of Array Images
  • Un-Supported Polymeric Film With Embedded Microbeads
  • Encoded Self-Assembling Chemical Libraries (Esachel)
  • Nanolipoprotein Particles Comprising Hydrogenases And Related Products, Methods And Systems
  • Detection Of Protein Conformations In Single Cells
  • Optimization Of Gene Expression Analysis Using Immobilized Capture Probes
  • Methods Of Identifying And Treating Individuals Exhibiting Mutant Kit Protein
  • Data Warehousing, Annotation And Statistical Analysis System
  • Plant Growth And Imaging Devices And Related Methods And Computer Program Products
  • Encoded Self-Assembling Chemical Libraries (Esachel)
  • Method Of Judging Gene Mutation
  • Creation Of Functionalized Microparticle Libraries By Oligonucleotide Ligation Or Elongation
  • Nanolipoprotein Particles And Related Methods And Systems For Protein Capture, Solubilization, And/Or Purification
  • Method Of Making A Microbead Array With Attached Biomolecules
  • Microarray-Based Analysis Of Polynucleotide Sequence Variations
  • Means And Methods For Classifying Samples Of Multiple Sclerosis Patients.
  • Detecting Events Of Interest Using Quantum Resonance Interferometry
  • Nonlinear Optical Detection Of Molecules Comprising An Unnatural Amino Acid Possessing A Hyperpolarizability
  • Optimization Of Gene Expression Analysis Using Immobilized Capture Probes
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/4462

    DOI

    http://dx.doi.org/10.1038/4462

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1017284394

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/9915498


    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": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA Probes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Databases, Factual", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Probe Techniques", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Oligonucleotide Array Sequence Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sequence Analysis, DNA", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Howard Hughes Medical Institute", 
              "id": "https://www.grid.ac/institutes/grid.413575.1", 
              "name": [
                "Department of Biochemistry, Howard Hughes Medical Institute, Stanford University School of Medicine, California 94305, USA. pbrown@cmgm.stanford.edu"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Brown", 
            "givenName": "P O", 
            "id": "sg:person.014304415612.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014304415612.51"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Botstein", 
            "givenName": "D", 
            "id": "sg:person.01021225500.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021225500.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ng1296-450", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002428346", 
              "https://doi.org/10.1038/ng1296-450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1296-1675", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005458398", 
              "https://doi.org/10.1038/nbt1296-1675"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0593-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006168731", 
              "https://doi.org/10.1038/ng0593-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/3282", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011136384", 
              "https://doi.org/10.1038/3282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/3282", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011136384", 
              "https://doi.org/10.1038/3282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4434", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012837556", 
              "https://doi.org/10.1038/4434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4434", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012837556", 
              "https://doi.org/10.1038/4434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/26.1.73", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015590365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.95.25.14863", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020882317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.94.24.13057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025837813"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1097-2765(00)80114-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027451892"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0061(19980930)14:13<1209::aid-yea311>3.0.co;2-n", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027862549"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.6.7.639", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028833356"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.281.5380.1194", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033841051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038604506", 
              "https://doi.org/10.1038/4439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038604506", 
              "https://doi.org/10.1038/4439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4447", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040686717", 
              "https://doi.org/10.1038/4447"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4447", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040686717", 
              "https://doi.org/10.1038/4447"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4478", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041049294", 
              "https://doi.org/10.1038/4478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/4478", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041049294", 
              "https://doi.org/10.1038/4478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.282.5389.699", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047652778"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.91.11.5022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050061899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.95.7.3752", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050385630"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1297-1359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052281386", 
              "https://doi.org/10.1038/nbt1297-1359"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.270.5235.467", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062551475"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.274.5287.546", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062554574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.277.5330.1259", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062557823"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.278.5338.680", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062558446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.282.5389.744", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062562946"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.283.5398.83", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062563707"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1999-01", 
        "datePublishedReg": "1999-01-01", 
        "description": "Thousands of genes are being discovered for the first time by sequencing the genomes of model organisms, an exhilarating reminder that much of the natural world remains to be explored at the molecular level. DNA microarrays provide a natural vehicle for this exploration. The model organisms are the first for which comprehensive genome-wide surveys of gene expression patterns or function are possible. The results can be viewed as maps that reflect the order and logic of the genetic program, rather than the physical order of genes on chromosomes. Exploration of the genome using DNA microarrays and other genome-scale technologies should narrow the gap in our knowledge of gene function and molecular biology between the currently-favoured model organisms and other species.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/4462", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1103138", 
            "issn": [
              "1061-4036", 
              "1546-1718"
            ], 
            "name": "Nature Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1 Suppl", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "21"
          }
        ], 
        "name": "Exploring the new world of the genome with DNA microarrays", 
        "pagination": "33-37", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "52599459b33612379d7a6a25a4869d03c9fccd94fd9f32dd2bb99dad30dbbc58"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "9915498"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9216904"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/4462"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1017284394"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/4462", 
          "https://app.dimensions.ai/details/publication/pub.1017284394"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:13", 
        "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/v90/0000000361_0000000361/records_53999_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/ng/journal/v21/n1s/full/ng0199supp_33.html"
      }
    ]
     

    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.10.1038/4462'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/4462'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/4462'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/4462'


     

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

    199 TRIPLES      21 PREDICATES      64 URIs      31 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/4462 schema:about N096f69045e2e46a5955b829c6e9de37f
    2 N28918f7ba1a34af993dba2b14df62d89
    3 N4b1c09efdb754edebe1cb8a3556df308
    4 N6949d080c46748b3a6f8ccf9c1f34178
    5 N6da3c0c910d14071a64005ffa5504fe8
    6 N7d5d944e259a40e885c20a7493dcf9fa
    7 N841952eebd46483491f95ebbccd4dbb9
    8 N9b85d213ecda422eb0f261ac4c001b6e
    9 Ne1bde4a0b49d4ff483646e694ccddb4b
    10 Nf3b4c37afd5c490f9d7f5258a59d632b
    11 anzsrc-for:06
    12 anzsrc-for:0604
    13 schema:author Nf6387c468e9742a0827ad17acfe1836c
    14 schema:citation sg:pub.10.1038/3282
    15 sg:pub.10.1038/4434
    16 sg:pub.10.1038/4439
    17 sg:pub.10.1038/4447
    18 sg:pub.10.1038/4478
    19 sg:pub.10.1038/nbt1296-1675
    20 sg:pub.10.1038/nbt1297-1359
    21 sg:pub.10.1038/ng0593-11
    22 sg:pub.10.1038/ng1296-450
    23 https://doi.org/10.1002/(sici)1097-0061(19980930)14:13<1209::aid-yea311>3.0.co;2-n
    24 https://doi.org/10.1016/s1097-2765(00)80114-8
    25 https://doi.org/10.1073/pnas.91.11.5022
    26 https://doi.org/10.1073/pnas.94.24.13057
    27 https://doi.org/10.1073/pnas.95.25.14863
    28 https://doi.org/10.1073/pnas.95.7.3752
    29 https://doi.org/10.1093/nar/26.1.73
    30 https://doi.org/10.1101/gr.6.7.639
    31 https://doi.org/10.1126/science.270.5235.467
    32 https://doi.org/10.1126/science.274.5287.546
    33 https://doi.org/10.1126/science.277.5330.1259
    34 https://doi.org/10.1126/science.278.5338.680
    35 https://doi.org/10.1126/science.281.5380.1194
    36 https://doi.org/10.1126/science.282.5389.699
    37 https://doi.org/10.1126/science.282.5389.744
    38 https://doi.org/10.1126/science.283.5398.83
    39 schema:datePublished 1999-01
    40 schema:datePublishedReg 1999-01-01
    41 schema:description Thousands of genes are being discovered for the first time by sequencing the genomes of model organisms, an exhilarating reminder that much of the natural world remains to be explored at the molecular level. DNA microarrays provide a natural vehicle for this exploration. The model organisms are the first for which comprehensive genome-wide surveys of gene expression patterns or function are possible. The results can be viewed as maps that reflect the order and logic of the genetic program, rather than the physical order of genes on chromosomes. Exploration of the genome using DNA microarrays and other genome-scale technologies should narrow the gap in our knowledge of gene function and molecular biology between the currently-favoured model organisms and other species.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf N02490a9f46b645d18c73edb9a0e436c5
    46 Ncd0129cfb8b344a8bf3bdd21cd2b5853
    47 sg:journal.1103138
    48 schema:name Exploring the new world of the genome with DNA microarrays
    49 schema:pagination 33-37
    50 schema:productId N0c3bb1412215403ab64896e4204cf83e
    51 N3c88bdae026d4a36a8defb6ddbeea0fc
    52 N67c5c10394c34192b80babaa25c9559c
    53 Neb00c51929b9441099df7e6693adde25
    54 Nf3d76069b9b440ad9526813f617f69c0
    55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017284394
    56 https://doi.org/10.1038/4462
    57 schema:sdDatePublished 2019-04-11T12:13
    58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    59 schema:sdPublisher N53259a4a780f4ddb83687cd762b51df4
    60 schema:url http://www.nature.com/ng/journal/v21/n1s/full/ng0199supp_33.html
    61 sgo:license sg:explorer/license/
    62 sgo:sdDataset articles
    63 rdf:type schema:ScholarlyArticle
    64 N02490a9f46b645d18c73edb9a0e436c5 schema:volumeNumber 21
    65 rdf:type schema:PublicationVolume
    66 N096f69045e2e46a5955b829c6e9de37f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    67 schema:name DNA Probes
    68 rdf:type schema:DefinedTerm
    69 N0c3bb1412215403ab64896e4204cf83e schema:name pubmed_id
    70 schema:value 9915498
    71 rdf:type schema:PropertyValue
    72 N28918f7ba1a34af993dba2b14df62d89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    73 schema:name Molecular Probe Techniques
    74 rdf:type schema:DefinedTerm
    75 N3c88bdae026d4a36a8defb6ddbeea0fc schema:name nlm_unique_id
    76 schema:value 9216904
    77 rdf:type schema:PropertyValue
    78 N4b1c09efdb754edebe1cb8a3556df308 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Gene Expression
    80 rdf:type schema:DefinedTerm
    81 N53259a4a780f4ddb83687cd762b51df4 schema:name Springer Nature - SN SciGraph project
    82 rdf:type schema:Organization
    83 N67c5c10394c34192b80babaa25c9559c schema:name readcube_id
    84 schema:value 52599459b33612379d7a6a25a4869d03c9fccd94fd9f32dd2bb99dad30dbbc58
    85 rdf:type schema:PropertyValue
    86 N6949d080c46748b3a6f8ccf9c1f34178 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    87 schema:name Humans
    88 rdf:type schema:DefinedTerm
    89 N6da3c0c910d14071a64005ffa5504fe8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    90 schema:name Databases, Factual
    91 rdf:type schema:DefinedTerm
    92 N7d5d944e259a40e885c20a7493dcf9fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    93 schema:name Sequence Analysis, DNA
    94 rdf:type schema:DefinedTerm
    95 N841952eebd46483491f95ebbccd4dbb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    96 schema:name Animals
    97 rdf:type schema:DefinedTerm
    98 N9b85d213ecda422eb0f261ac4c001b6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Chromosome Mapping
    100 rdf:type schema:DefinedTerm
    101 Nbc8ab427f1b44c7ebcb4eab6dde2c139 rdf:first sg:person.01021225500.13
    102 rdf:rest rdf:nil
    103 Ncd0129cfb8b344a8bf3bdd21cd2b5853 schema:issueNumber 1 Suppl
    104 rdf:type schema:PublicationIssue
    105 Ne1bde4a0b49d4ff483646e694ccddb4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Oligonucleotide Array Sequence Analysis
    107 rdf:type schema:DefinedTerm
    108 Neb00c51929b9441099df7e6693adde25 schema:name dimensions_id
    109 schema:value pub.1017284394
    110 rdf:type schema:PropertyValue
    111 Nf3b4c37afd5c490f9d7f5258a59d632b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Genome
    113 rdf:type schema:DefinedTerm
    114 Nf3d76069b9b440ad9526813f617f69c0 schema:name doi
    115 schema:value 10.1038/4462
    116 rdf:type schema:PropertyValue
    117 Nf6387c468e9742a0827ad17acfe1836c rdf:first sg:person.014304415612.51
    118 rdf:rest Nbc8ab427f1b44c7ebcb4eab6dde2c139
    119 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    120 schema:name Biological Sciences
    121 rdf:type schema:DefinedTerm
    122 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    123 schema:name Genetics
    124 rdf:type schema:DefinedTerm
    125 sg:journal.1103138 schema:issn 1061-4036
    126 1546-1718
    127 schema:name Nature Genetics
    128 rdf:type schema:Periodical
    129 sg:person.01021225500.13 schema:familyName Botstein
    130 schema:givenName D
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021225500.13
    132 rdf:type schema:Person
    133 sg:person.014304415612.51 schema:affiliation https://www.grid.ac/institutes/grid.413575.1
    134 schema:familyName Brown
    135 schema:givenName P O
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014304415612.51
    137 rdf:type schema:Person
    138 sg:pub.10.1038/3282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011136384
    139 https://doi.org/10.1038/3282
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1038/4434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012837556
    142 https://doi.org/10.1038/4434
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1038/4439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038604506
    145 https://doi.org/10.1038/4439
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1038/4447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040686717
    148 https://doi.org/10.1038/4447
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1038/4478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041049294
    151 https://doi.org/10.1038/4478
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1038/nbt1296-1675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005458398
    154 https://doi.org/10.1038/nbt1296-1675
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1038/nbt1297-1359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052281386
    157 https://doi.org/10.1038/nbt1297-1359
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1038/ng0593-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006168731
    160 https://doi.org/10.1038/ng0593-11
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1038/ng1296-450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002428346
    163 https://doi.org/10.1038/ng1296-450
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1002/(sici)1097-0061(19980930)14:13<1209::aid-yea311>3.0.co;2-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1027862549
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1016/s1097-2765(00)80114-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027451892
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1073/pnas.91.11.5022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050061899
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1073/pnas.94.24.13057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025837813
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1073/pnas.95.25.14863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020882317
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1073/pnas.95.7.3752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050385630
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1093/nar/26.1.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015590365
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1101/gr.6.7.639 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028833356
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1126/science.270.5235.467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062551475
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1126/science.274.5287.546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554574
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1126/science.277.5330.1259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062557823
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1126/science.278.5338.680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062558446
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1126/science.281.5380.1194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033841051
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1126/science.282.5389.699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047652778
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1126/science.282.5389.744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062562946
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1126/science.283.5398.83 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062563707
    196 rdf:type schema:CreativeWork
    197 https://www.grid.ac/institutes/grid.413575.1 schema:alternateName Howard Hughes Medical Institute
    198 schema:name Department of Biochemistry, Howard Hughes Medical Institute, Stanford University School of Medicine, California 94305, USA. pbrown@cmgm.stanford.edu
    199 rdf:type schema:Organization
     




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


    ...