Literature mining for the biologist: from information retrieval to biological discovery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-02

AUTHORS

Lars Juhl Jensen, Jasmin Saric, Peer Bork

ABSTRACT

For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists. More... »

PAGES

119-129

References to SciGraph publications

  • 2005-12. G2D: a tool for mining genes associated with disease in BMC GENETICS
  • 2002-09. Mining microarray expression data by literature profiling in GENOME BIOLOGY
  • 2002-03. Conceptual biology: Unearthing the gems in NATURE
  • 2005-07. Quality control and quality assessment of data from surface-enhanced laser desorption/ionization (SELDI) time-of flight (TOF) mass spectrometry (MS) in BMC BIOINFORMATICS
  • 2003-12. PreBIND and Textomy – mining the biomedical literature for protein-protein interactions using a support vector machine in BMC BIOINFORMATICS
  • 2005-05. Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome in GENOME BIOLOGY
  • 2005-12. Ranking the whole MEDLINE database according to a large training set using text indexing in BMC BIOINFORMATICS
  • 2004-12. Extending the mutual information measure to rank inferred literature relationships in BMC BIOINFORMATICS
  • 2005-12. Thesaurus-based disambiguation of gene symbols in BMC BIOINFORMATICS
  • 2005-12. Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information in BMC BIOINFORMATICS
  • 2005-07. Text-mining and information-retrieval services for molecular biology in GENOME BIOLOGY
  • 2005-12. CoPub Mapper: mining MEDLINE based on search term co-publication in BMC BIOINFORMATICS
  • 2005-05. GENETAG: a tagged corpus for gene/protein named entity recognition in BMC BIOINFORMATICS
  • 2005-05. Overview of BioCreAtIvE: critical assessment of information extraction for biology in BMC BIOINFORMATICS
  • 2005-05. Recognition of protein/gene names from text using an ensemble of classifiers in BMC BIOINFORMATICS
  • 2005-05. Identifying gene and protein mentions in text using conditional random fields in BMC BIOINFORMATICS
  • 2005-05. Exploring the boundaries: gene and protein identification in biomedical text in BMC BIOINFORMATICS
  • 2003-12. Information extraction from full text scientific articles: Where are the keywords? in BMC BIOINFORMATICS
  • 2002-07. Association of genes to genetically inherited diseases using data mining in NATURE GENETICS
  • 2004-07. A gene network for navigating the literature in NATURE GENETICS
  • 2001-03. Mining functional information associated with expression arrays in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 2005-05. Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text in BMC BIOINFORMATICS
  • 2001-05. A literature network of human genes for high-throughput analysis of gene expression in NATURE GENETICS
  • 2005-05. A simple approach for protein name identification: prospects and limits in BMC BIOINFORMATICS
  • 2005-05. ProMiner: rule-based protein and gene entity recognition in BMC BIOINFORMATICS
  • 2005-05. Automatically annotating documents with normalized gene lists in BMC BIOINFORMATICS
  • 2002-08. Genomics and natural language processing in NATURE REVIEWS GENETICS
  • 2004-05. Prolinks: a database of protein functional linkages derived from coevolution in GENOME BIOLOGY
  • 2004-05. TXTGate: profiling gene groups with text-based information in GENOME BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrg1768

    DOI

    http://dx.doi.org/10.1038/nrg1768

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011616497

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/16418747


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Databases as Topic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Information Storage and Retrieval", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Periodicals as Topic", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "European Molecular Biology Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.4709.a", 
              "name": [
                "European Molecular Biology Laboratory, D-69117 Heidelberg, Germany. jensen@embl.de"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jensen", 
            "givenName": "Lars Juhl", 
            "id": "sg:person.016207273140.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016207273140.77"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Saric", 
            "givenName": "Jasmin", 
            "id": "sg:person.01351341017.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351341017.91"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Bork", 
            "givenName": "Peer", 
            "id": "sg:person.01240760565.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240760565.42"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0168-9525(02)00014-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000075460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-9525(02)00014-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000075460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.4.319", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001812096"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2005-6-5-r40", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002397352", 
              "https://doi.org/10.1186/gb-2005-6-5-r40"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002697700", 
              "https://doi.org/10.1186/1471-2105-6-149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002981930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003871561"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0010-4825(95)00055-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004763657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkg636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005032890"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2156-6-45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005090508", 
              "https://doi.org/10.1186/1471-2156-6-45"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0501-21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005323022", 
              "https://doi.org/10.1038/ng0501-21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0501-21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005323022", 
              "https://doi.org/10.1038/ng0501-21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005869659", 
              "https://doi.org/10.1186/1471-2105-6-s1-s3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0014-5793(00)01661-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006333948"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s18", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006919385", 
              "https://doi.org/10.1186/1471-2105-6-s1-s18"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/18.11.1515", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006985368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg452", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007488687"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007617235", 
              "https://doi.org/10.1186/1471-2105-6-s1-s5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1105103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007780702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/jbc.m110752200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008578553"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.25.1.488-498.2005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011594302"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki429", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011679024"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.1111403", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011871608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg393", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012635743"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.116402", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014116368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015425305", 
              "https://doi.org/10.1186/1471-2105-6-s1-s7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki296", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015929699"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/416373a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016875834", 
              "https://doi.org/10.1038/416373a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/416373a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016875834", 
              "https://doi.org/10.1038/416373a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0167-4781(99)00035-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017282822"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1353/pbm.1988.0009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020146237"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0968-0004(01)01926-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020286822"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/18.12.1553", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020879079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021461327", 
              "https://doi.org/10.1186/1471-2105-6-s1-s15"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-75", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021738414", 
              "https://doi.org/10.1186/1471-2105-6-75"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/18.suppl_1.s249", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022017023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s101420000036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022354021", 
              "https://doi.org/10.1007/s101420000036"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2004-5-6-r43", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024009006", 
              "https://doi.org/10.1186/gb-2004-5-6-r43"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/990820.990850", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024654499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti475", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024968916"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3115/1034678.1034679", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025322015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2005-6-7-224", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025360679", 
              "https://doi.org/10.1186/gb-2005-6-7-224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025664937", 
              "https://doi.org/10.1186/1471-2105-6-s1-s6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.0010010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028047406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.0030065", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028908874"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2002-3-10-research0055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031500584", 
              "https://doi.org/10.1186/gb-2002-3-10-research0055"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jbi.2003.10.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031591332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031689347"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1353/pbm.1990.0031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032259841"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gad.867501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032547689"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.0030134", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033093186"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-4-20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033906699", 
              "https://doi.org/10.1186/1471-2105-4-20"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s2-s5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034920985", 
              "https://doi.org/10.1186/1471-2105-6-s2-s5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/16.5.412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036490773"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036940874", 
              "https://doi.org/10.1186/1471-2105-6-s1-s14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.suppl_1.s74", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037764340"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pbio.0020309", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037860048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.20.15.5447-5453.2000", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038312121"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0404315101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038693032"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0704-664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038809401", 
              "https://doi.org/10.1038/ng0704-664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0704-664", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038809401", 
              "https://doi.org/10.1038/ng0704-664"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039857093", 
              "https://doi.org/10.1186/1471-2105-6-s1-s13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-s1-s1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041047351", 
              "https://doi.org/10.1186/1471-2105-6-s1-s1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bth291", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041160894"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti1011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041618169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bth914", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041753491"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/18.8.1124", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042749780"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg279", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043052914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/14.7.600", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043292571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/17.4.359", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043470516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-5-145", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043739698", 
              "https://doi.org/10.1186/1471-2105-5-145"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/sj.embor.embor833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044124768"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-51", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044267594", 
              "https://doi.org/10.1186/1471-2105-6-51"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bth496", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044809843"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijmedinf.2004.04.024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045742138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0378-1119(00)00431-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047159003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti493", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047678671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bth904", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048481065"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti597", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048853240"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.104.034603", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048989586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.104.034603", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048989586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-4-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049783613", 
              "https://doi.org/10.1186/1471-2105-4-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-4-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049783613", 
              "https://doi.org/10.1186/1471-2105-4-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0307545100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049986679"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg1046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050091434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng895", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050529350", 
              "https://doi.org/10.1038/ng895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng895", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050529350", 
              "https://doi.org/10.1038/ng895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050545527", 
              "https://doi.org/10.1186/1471-2105-6-143"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-6-143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050545527", 
              "https://doi.org/10.1186/1471-2105-6-143"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051996212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2004-5-5-r35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052229286", 
              "https://doi.org/10.1186/gb-2004-5-5-r35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg861", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052265813", 
              "https://doi.org/10.1038/nrg861"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg861", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052265813", 
              "https://doi.org/10.1038/nrg861"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2958.2001.02330.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052335967"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2958.2002.02860.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052515153"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/sj.emboj.7600683", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052878779"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/sj.emboj.7600683", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052878779"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0306-4573(94)90068-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053517485"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1353/pbm.1986.0087", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053548428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mis.2002.999215", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061405583"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.297.5581.519b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062577824"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/stke.2832005pe21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062692697"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1212/wnl.47.3.809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064374270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1212/wnl.47.3.809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064374270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1212/wnl.47.3.809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064374270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2144/99276bc03", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074574981"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074590086", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447362_0038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096040288"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447362_0040", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096040290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447362_0047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096040297"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789812776303_0037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096071088"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789812799623_0031", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096079241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447331_0006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096094010"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447331_0049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096094029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447331_0050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096094030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/9789814447331_0051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1096094031"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2006-02", 
        "datePublishedReg": "2006-02-01", 
        "description": "For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/nrg1768", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1023607", 
            "issn": [
              "1471-0056", 
              "1471-0064"
            ], 
            "name": "Nature Reviews Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "7"
          }
        ], 
        "name": "Literature mining for the biologist: from information retrieval to biological discovery", 
        "pagination": "119-129", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "3758a7bbc5c8b24df838c51933cb5d237d5b9ea0e3f5dec7d58a2b67a89ad820"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "16418747"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100962779"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/nrg1768"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1011616497"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/nrg1768", 
          "https://app.dimensions.ai/details/publication/pub.1011616497"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:55", 
        "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/v90/0000000359_0000000359/records_29207_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/nrg/journal/v7/n2/full/nrg1768.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/nrg1768'

    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/nrg1768'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrg1768'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nrg1768'


     

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

    437 TRIPLES      21 PREDICATES      137 URIs      25 LITERALS      13 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/nrg1768 schema:about N132604ad094c4b6885f89952ea670c33
    2 N37ea9e5628bc4162b412f1dbc262acb0
    3 N45b26ce14bdc49acaf216c2c37b8ec8c
    4 Nc81cc216f0b84f1daf39b6a2d419ea12
    5 anzsrc-for:08
    6 anzsrc-for:0801
    7 schema:author N2882d11b2b8946919729c7ab1a5fbf47
    8 schema:citation sg:pub.10.1007/s101420000036
    9 sg:pub.10.1038/416373a
    10 sg:pub.10.1038/ng0501-21
    11 sg:pub.10.1038/ng0704-664
    12 sg:pub.10.1038/ng895
    13 sg:pub.10.1038/nrg861
    14 sg:pub.10.1186/1471-2105-4-11
    15 sg:pub.10.1186/1471-2105-4-20
    16 sg:pub.10.1186/1471-2105-5-145
    17 sg:pub.10.1186/1471-2105-6-143
    18 sg:pub.10.1186/1471-2105-6-149
    19 sg:pub.10.1186/1471-2105-6-51
    20 sg:pub.10.1186/1471-2105-6-75
    21 sg:pub.10.1186/1471-2105-6-s1-s1
    22 sg:pub.10.1186/1471-2105-6-s1-s13
    23 sg:pub.10.1186/1471-2105-6-s1-s14
    24 sg:pub.10.1186/1471-2105-6-s1-s15
    25 sg:pub.10.1186/1471-2105-6-s1-s18
    26 sg:pub.10.1186/1471-2105-6-s1-s3
    27 sg:pub.10.1186/1471-2105-6-s1-s5
    28 sg:pub.10.1186/1471-2105-6-s1-s6
    29 sg:pub.10.1186/1471-2105-6-s1-s7
    30 sg:pub.10.1186/1471-2105-6-s2-s5
    31 sg:pub.10.1186/1471-2156-6-45
    32 sg:pub.10.1186/gb-2002-3-10-research0055
    33 sg:pub.10.1186/gb-2004-5-5-r35
    34 sg:pub.10.1186/gb-2004-5-6-r43
    35 sg:pub.10.1186/gb-2005-6-5-r40
    36 sg:pub.10.1186/gb-2005-6-7-224
    37 https://app.dimensions.ai/details/publication/pub.1074590086
    38 https://doi.org/10.1016/0010-4825(95)00055-0
    39 https://doi.org/10.1016/0306-4573(94)90068-x
    40 https://doi.org/10.1016/j.ijmedinf.2004.04.024
    41 https://doi.org/10.1016/j.jbi.2003.10.001
    42 https://doi.org/10.1016/s0014-5793(00)01661-6
    43 https://doi.org/10.1016/s0167-4781(99)00035-4
    44 https://doi.org/10.1016/s0168-9525(02)00014-8
    45 https://doi.org/10.1016/s0378-1119(00)00431-5
    46 https://doi.org/10.1016/s0968-0004(01)01926-0
    47 https://doi.org/10.1038/sj.emboj.7600683
    48 https://doi.org/10.1038/sj.embor.embor833
    49 https://doi.org/10.1046/j.1365-2958.2002.02860.x
    50 https://doi.org/10.1073/pnas.0307545100
    51 https://doi.org/10.1073/pnas.0404315101
    52 https://doi.org/10.1074/jbc.m110752200
    53 https://doi.org/10.1093/bioinformatics/14.7.600
    54 https://doi.org/10.1093/bioinformatics/16.5.412
    55 https://doi.org/10.1093/bioinformatics/17.4.319
    56 https://doi.org/10.1093/bioinformatics/17.4.359
    57 https://doi.org/10.1093/bioinformatics/17.suppl_1.s74
    58 https://doi.org/10.1093/bioinformatics/18.11.1515
    59 https://doi.org/10.1093/bioinformatics/18.12.1553
    60 https://doi.org/10.1093/bioinformatics/18.8.1124
    61 https://doi.org/10.1093/bioinformatics/18.suppl_1.s249
    62 https://doi.org/10.1093/bioinformatics/btg1046
    63 https://doi.org/10.1093/bioinformatics/btg279
    64 https://doi.org/10.1093/bioinformatics/btg390
    65 https://doi.org/10.1093/bioinformatics/btg393
    66 https://doi.org/10.1093/bioinformatics/btg452
    67 https://doi.org/10.1093/bioinformatics/bth291
    68 https://doi.org/10.1093/bioinformatics/bth496
    69 https://doi.org/10.1093/bioinformatics/bth904
    70 https://doi.org/10.1093/bioinformatics/bth914
    71 https://doi.org/10.1093/bioinformatics/bti1011
    72 https://doi.org/10.1093/bioinformatics/bti475
    73 https://doi.org/10.1093/bioinformatics/bti493
    74 https://doi.org/10.1093/bioinformatics/bti586
    75 https://doi.org/10.1093/bioinformatics/bti597
    76 https://doi.org/10.1093/nar/gkg636
    77 https://doi.org/10.1093/nar/gki005
    78 https://doi.org/10.1093/nar/gki296
    79 https://doi.org/10.1093/nar/gki429
    80 https://doi.org/10.1093/nar/gki470
    81 https://doi.org/10.1101/gad.867501
    82 https://doi.org/10.1101/gr.1111403
    83 https://doi.org/10.1101/gr.116402
    84 https://doi.org/10.1109/mis.2002.999215
    85 https://doi.org/10.1111/j.1365-2958.2001.02330.x
    86 https://doi.org/10.1126/science.1105103
    87 https://doi.org/10.1126/science.297.5581.519b
    88 https://doi.org/10.1126/stke.2832005pe21
    89 https://doi.org/10.1128/mcb.20.15.5447-5453.2000
    90 https://doi.org/10.1128/mcb.25.1.488-498.2005
    91 https://doi.org/10.1142/9789812776303_0037
    92 https://doi.org/10.1142/9789812799623_0031
    93 https://doi.org/10.1142/9789814447331_0006
    94 https://doi.org/10.1142/9789814447331_0049
    95 https://doi.org/10.1142/9789814447331_0050
    96 https://doi.org/10.1142/9789814447331_0051
    97 https://doi.org/10.1142/9789814447362_0038
    98 https://doi.org/10.1142/9789814447362_0040
    99 https://doi.org/10.1142/9789814447362_0047
    100 https://doi.org/10.1212/wnl.47.3.809
    101 https://doi.org/10.1353/pbm.1986.0087
    102 https://doi.org/10.1353/pbm.1988.0009
    103 https://doi.org/10.1353/pbm.1990.0031
    104 https://doi.org/10.1371/journal.pbio.0020309
    105 https://doi.org/10.1371/journal.pbio.0030065
    106 https://doi.org/10.1371/journal.pbio.0030134
    107 https://doi.org/10.1371/journal.pcbi.0010010
    108 https://doi.org/10.1534/genetics.104.034603
    109 https://doi.org/10.2144/99276bc03
    110 https://doi.org/10.3115/1034678.1034679
    111 https://doi.org/10.3115/990820.990850
    112 schema:datePublished 2006-02
    113 schema:datePublishedReg 2006-02-01
    114 schema:description For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.
    115 schema:genre research_article
    116 schema:inLanguage en
    117 schema:isAccessibleForFree false
    118 schema:isPartOf N2b55504aacf14338955ccb83b1601c56
    119 N2b8ab98cb81048198865b00d5b8353ef
    120 sg:journal.1023607
    121 schema:name Literature mining for the biologist: from information retrieval to biological discovery
    122 schema:pagination 119-129
    123 schema:productId N02c5a89245f949dface6dfc1a2179149
    124 N4c164b75a6dc40cba835da498a49d099
    125 N693252c3b2a144978dd4b41b214c9271
    126 N957dffeaaffd4b169c65688fca66dda1
    127 Ndd9f00a020734df4b89a568a3c91a682
    128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011616497
    129 https://doi.org/10.1038/nrg1768
    130 schema:sdDatePublished 2019-04-11T11:55
    131 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    132 schema:sdPublisher Nf0571fd774314149bd4dfcc89bd8356e
    133 schema:url http://www.nature.com/nrg/journal/v7/n2/full/nrg1768.html
    134 sgo:license sg:explorer/license/
    135 sgo:sdDataset articles
    136 rdf:type schema:ScholarlyArticle
    137 N02c5a89245f949dface6dfc1a2179149 schema:name nlm_unique_id
    138 schema:value 100962779
    139 rdf:type schema:PropertyValue
    140 N132604ad094c4b6885f89952ea670c33 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Information Storage and Retrieval
    142 rdf:type schema:DefinedTerm
    143 N2798e9bde74e487e8664d11bfbb88308 rdf:first sg:person.01351341017.91
    144 rdf:rest Nc0614f6a4ee44ff1bbe2ef17a5ea9c7e
    145 N2882d11b2b8946919729c7ab1a5fbf47 rdf:first sg:person.016207273140.77
    146 rdf:rest N2798e9bde74e487e8664d11bfbb88308
    147 N2b55504aacf14338955ccb83b1601c56 schema:volumeNumber 7
    148 rdf:type schema:PublicationVolume
    149 N2b8ab98cb81048198865b00d5b8353ef schema:issueNumber 2
    150 rdf:type schema:PublicationIssue
    151 N37ea9e5628bc4162b412f1dbc262acb0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Periodicals as Topic
    153 rdf:type schema:DefinedTerm
    154 N45b26ce14bdc49acaf216c2c37b8ec8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Computational Biology
    156 rdf:type schema:DefinedTerm
    157 N4c164b75a6dc40cba835da498a49d099 schema:name dimensions_id
    158 schema:value pub.1011616497
    159 rdf:type schema:PropertyValue
    160 N693252c3b2a144978dd4b41b214c9271 schema:name pubmed_id
    161 schema:value 16418747
    162 rdf:type schema:PropertyValue
    163 N957dffeaaffd4b169c65688fca66dda1 schema:name readcube_id
    164 schema:value 3758a7bbc5c8b24df838c51933cb5d237d5b9ea0e3f5dec7d58a2b67a89ad820
    165 rdf:type schema:PropertyValue
    166 Nc0614f6a4ee44ff1bbe2ef17a5ea9c7e rdf:first sg:person.01240760565.42
    167 rdf:rest rdf:nil
    168 Nc81cc216f0b84f1daf39b6a2d419ea12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Databases as Topic
    170 rdf:type schema:DefinedTerm
    171 Ndd9f00a020734df4b89a568a3c91a682 schema:name doi
    172 schema:value 10.1038/nrg1768
    173 rdf:type schema:PropertyValue
    174 Nf0571fd774314149bd4dfcc89bd8356e schema:name Springer Nature - SN SciGraph project
    175 rdf:type schema:Organization
    176 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    177 schema:name Information and Computing Sciences
    178 rdf:type schema:DefinedTerm
    179 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    180 schema:name Artificial Intelligence and Image Processing
    181 rdf:type schema:DefinedTerm
    182 sg:journal.1023607 schema:issn 1471-0056
    183 1471-0064
    184 schema:name Nature Reviews Genetics
    185 rdf:type schema:Periodical
    186 sg:person.01240760565.42 schema:familyName Bork
    187 schema:givenName Peer
    188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240760565.42
    189 rdf:type schema:Person
    190 sg:person.01351341017.91 schema:familyName Saric
    191 schema:givenName Jasmin
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351341017.91
    193 rdf:type schema:Person
    194 sg:person.016207273140.77 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
    195 schema:familyName Jensen
    196 schema:givenName Lars Juhl
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016207273140.77
    198 rdf:type schema:Person
    199 sg:pub.10.1007/s101420000036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022354021
    200 https://doi.org/10.1007/s101420000036
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1038/416373a schema:sameAs https://app.dimensions.ai/details/publication/pub.1016875834
    203 https://doi.org/10.1038/416373a
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/ng0501-21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005323022
    206 https://doi.org/10.1038/ng0501-21
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/ng0704-664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038809401
    209 https://doi.org/10.1038/ng0704-664
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/ng895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050529350
    212 https://doi.org/10.1038/ng895
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/nrg861 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052265813
    215 https://doi.org/10.1038/nrg861
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1186/1471-2105-4-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049783613
    218 https://doi.org/10.1186/1471-2105-4-11
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1186/1471-2105-4-20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033906699
    221 https://doi.org/10.1186/1471-2105-4-20
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1186/1471-2105-5-145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043739698
    224 https://doi.org/10.1186/1471-2105-5-145
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1186/1471-2105-6-143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050545527
    227 https://doi.org/10.1186/1471-2105-6-143
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1186/1471-2105-6-149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002697700
    230 https://doi.org/10.1186/1471-2105-6-149
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1186/1471-2105-6-51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044267594
    233 https://doi.org/10.1186/1471-2105-6-51
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1186/1471-2105-6-75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021738414
    236 https://doi.org/10.1186/1471-2105-6-75
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1186/1471-2105-6-s1-s1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041047351
    239 https://doi.org/10.1186/1471-2105-6-s1-s1
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1186/1471-2105-6-s1-s13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039857093
    242 https://doi.org/10.1186/1471-2105-6-s1-s13
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1186/1471-2105-6-s1-s14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036940874
    245 https://doi.org/10.1186/1471-2105-6-s1-s14
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1186/1471-2105-6-s1-s15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021461327
    248 https://doi.org/10.1186/1471-2105-6-s1-s15
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1186/1471-2105-6-s1-s18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006919385
    251 https://doi.org/10.1186/1471-2105-6-s1-s18
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1186/1471-2105-6-s1-s3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005869659
    254 https://doi.org/10.1186/1471-2105-6-s1-s3
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1186/1471-2105-6-s1-s5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007617235
    257 https://doi.org/10.1186/1471-2105-6-s1-s5
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1186/1471-2105-6-s1-s6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025664937
    260 https://doi.org/10.1186/1471-2105-6-s1-s6
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1186/1471-2105-6-s1-s7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015425305
    263 https://doi.org/10.1186/1471-2105-6-s1-s7
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1186/1471-2105-6-s2-s5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034920985
    266 https://doi.org/10.1186/1471-2105-6-s2-s5
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1186/1471-2156-6-45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005090508
    269 https://doi.org/10.1186/1471-2156-6-45
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1186/gb-2002-3-10-research0055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031500584
    272 https://doi.org/10.1186/gb-2002-3-10-research0055
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1186/gb-2004-5-5-r35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052229286
    275 https://doi.org/10.1186/gb-2004-5-5-r35
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1186/gb-2004-5-6-r43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024009006
    278 https://doi.org/10.1186/gb-2004-5-6-r43
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1186/gb-2005-6-5-r40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002397352
    281 https://doi.org/10.1186/gb-2005-6-5-r40
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1186/gb-2005-6-7-224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025360679
    284 https://doi.org/10.1186/gb-2005-6-7-224
    285 rdf:type schema:CreativeWork
    286 https://app.dimensions.ai/details/publication/pub.1074590086 schema:CreativeWork
    287 https://doi.org/10.1016/0010-4825(95)00055-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004763657
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1016/0306-4573(94)90068-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053517485
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/j.ijmedinf.2004.04.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045742138
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/j.jbi.2003.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031591332
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/s0014-5793(00)01661-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006333948
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/s0167-4781(99)00035-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017282822
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/s0168-9525(02)00014-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000075460
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/s0378-1119(00)00431-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047159003
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1016/s0968-0004(01)01926-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020286822
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1038/sj.emboj.7600683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052878779
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1038/sj.embor.embor833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044124768
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1046/j.1365-2958.2002.02860.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052515153
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1073/pnas.0307545100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049986679
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1073/pnas.0404315101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038693032
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1074/jbc.m110752200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008578553
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1093/bioinformatics/14.7.600 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043292571
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/bioinformatics/16.5.412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036490773
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/bioinformatics/17.4.319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001812096
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/bioinformatics/17.4.359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043470516
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/bioinformatics/17.suppl_1.s74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037764340
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1093/bioinformatics/18.11.1515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006985368
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1093/bioinformatics/18.12.1553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020879079
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1093/bioinformatics/18.8.1124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042749780
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1093/bioinformatics/18.suppl_1.s249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022017023
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1093/bioinformatics/btg1046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050091434
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1093/bioinformatics/btg279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043052914
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1093/bioinformatics/btg390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031689347
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1093/bioinformatics/btg393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012635743
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1093/bioinformatics/btg452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007488687
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1093/bioinformatics/bth291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041160894
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1093/bioinformatics/bth496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044809843
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1093/bioinformatics/bth904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048481065
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1093/bioinformatics/bth914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041753491
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1093/bioinformatics/bti1011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041618169
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1093/bioinformatics/bti475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024968916
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1093/bioinformatics/bti493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047678671
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1093/bioinformatics/bti586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002981930
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1093/bioinformatics/bti597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048853240
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1093/nar/gkg636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005032890
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1093/nar/gki005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003871561
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1093/nar/gki296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015929699
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1093/nar/gki429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011679024
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1093/nar/gki470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051996212
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1101/gad.867501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032547689
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1101/gr.1111403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011871608
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1101/gr.116402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014116368
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1109/mis.2002.999215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061405583
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1111/j.1365-2958.2001.02330.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052335967
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.1126/science.1105103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007780702
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.1126/science.297.5581.519b schema:sameAs https://app.dimensions.ai/details/publication/pub.1062577824
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.1126/stke.2832005pe21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062692697
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.1128/mcb.20.15.5447-5453.2000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038312121
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.1128/mcb.25.1.488-498.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011594302
    392 rdf:type schema:CreativeWork
    393 https://doi.org/10.1142/9789812776303_0037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096071088
    394 rdf:type schema:CreativeWork
    395 https://doi.org/10.1142/9789812799623_0031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096079241
    396 rdf:type schema:CreativeWork
    397 https://doi.org/10.1142/9789814447331_0006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096094010
    398 rdf:type schema:CreativeWork
    399 https://doi.org/10.1142/9789814447331_0049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096094029
    400 rdf:type schema:CreativeWork
    401 https://doi.org/10.1142/9789814447331_0050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096094030
    402 rdf:type schema:CreativeWork
    403 https://doi.org/10.1142/9789814447331_0051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096094031
    404 rdf:type schema:CreativeWork
    405 https://doi.org/10.1142/9789814447362_0038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096040288
    406 rdf:type schema:CreativeWork
    407 https://doi.org/10.1142/9789814447362_0040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096040290
    408 rdf:type schema:CreativeWork
    409 https://doi.org/10.1142/9789814447362_0047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096040297
    410 rdf:type schema:CreativeWork
    411 https://doi.org/10.1212/wnl.47.3.809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064374270
    412 rdf:type schema:CreativeWork
    413 https://doi.org/10.1353/pbm.1986.0087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053548428
    414 rdf:type schema:CreativeWork
    415 https://doi.org/10.1353/pbm.1988.0009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020146237
    416 rdf:type schema:CreativeWork
    417 https://doi.org/10.1353/pbm.1990.0031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032259841
    418 rdf:type schema:CreativeWork
    419 https://doi.org/10.1371/journal.pbio.0020309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037860048
    420 rdf:type schema:CreativeWork
    421 https://doi.org/10.1371/journal.pbio.0030065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028908874
    422 rdf:type schema:CreativeWork
    423 https://doi.org/10.1371/journal.pbio.0030134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033093186
    424 rdf:type schema:CreativeWork
    425 https://doi.org/10.1371/journal.pcbi.0010010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028047406
    426 rdf:type schema:CreativeWork
    427 https://doi.org/10.1534/genetics.104.034603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048989586
    428 rdf:type schema:CreativeWork
    429 https://doi.org/10.2144/99276bc03 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074574981
    430 rdf:type schema:CreativeWork
    431 https://doi.org/10.3115/1034678.1034679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025322015
    432 rdf:type schema:CreativeWork
    433 https://doi.org/10.3115/990820.990850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024654499
    434 rdf:type schema:CreativeWork
    435 https://www.grid.ac/institutes/grid.4709.a schema:alternateName European Molecular Biology Laboratory
    436 schema:name European Molecular Biology Laboratory, D-69117 Heidelberg, Germany. jensen@embl.de
    437 rdf:type schema:Organization
     




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


    ...