Evaluation of six commercial systems for identification of medically important yeasts View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-07

AUTHORS

L. Buchaille, A. M. Freydière, R. Guinet, Y. Gille

ABSTRACT

Six commercially available systems for the identification of yeasts were evaluated using 133 clinical isolates and four reference strains that had been previously identified by conventional methods and 19 recent clinical isolates that had been identified by the ID32C system (bioMérieux, France). The total identification rates (TIR) established for the total number of strains tested and the database identification rates (DBIR) established for the strains included in the respective manufacturer databases were both determined. After incubation for 4 h, the TIR and DBIR were 78% and 84%, respectively, for the RapID Yeast Plus system (Innovative Diagnostic Systems, USA). After incubation for 24 h, the TIR and DBIR were 32% and 32%, respectively, for the ID32C, 65% and 67% for the Auxacolor system (Sanofi Diagnostics Pasteur, France), 62% and 65% for the Fungichrom I system (International Microbio, France), 52% and 65% for the Fungifast I twin system (International Microbio), and 62% and 68% for the API Candida system (bioMérieux). The maximum TIR and DBIR (+/- 1%) obtained after incubation for 48 h were 86% and 88% for the Auxacolor, 85% and 89% for the Fungichrom I, 78% and 98% for the Fungifast I twin, and 82% and 91% for the API Candida. For the ID32C, the maximum TIR and DBIR were 98% and 98%, respectively, but these values were obtained only after 72 h of incubation. In addition, the six systems varied in their ease of use and readings. In conclusion, based on results obtained with 156 strains, the Auxacolor and Fungichrom systems seem the most appropriate for use in a clinical microbiology laboratory, due to their ease of use and reading, their rapidity, their cost per test, and their relatively high TIR results, which indicated acceptable performance with strains frequently isolated in our hospital. For a reference identification, the ID32C remains the sole system usable. More... »

PAGES

479-488

References to SciGraph publications

  • 1993-04. Evaluation of four commercial systems for identification of medically important yeasts in EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES
  • 1982-08. Evaluation of four commercial biochemical test systems for identification of yeasts in EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES
  • 1997-06. Comparison of three commercial media for direct identification and discrimination ofCandida species in clinical specimens in EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf01691130

    DOI

    http://dx.doi.org/10.1007/bf01691130

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1001242207

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/9764550


    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/2008/1108", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical Microbiology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Evaluation Studies as Topic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mycological Typing Techniques", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mycoses", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reagent Kits, Diagnostic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reference Values", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reproducibility of Results", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Species Specificity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Yeasts", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "H\u00f4pital de l'Antiquaille", 
              "id": "https://www.grid.ac/institutes/grid.417618.d", 
              "name": [
                "Laboratoire de Bact\u00e9riologie, H\u00f4pital de L'Antiquaille, F-69321, Lyon Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Buchaille", 
            "givenName": "L.", 
            "id": "sg:person.01160032257.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160032257.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "H\u00f4pital de l'Antiquaille", 
              "id": "https://www.grid.ac/institutes/grid.417618.d", 
              "name": [
                "Laboratoire de Bact\u00e9riologie, H\u00f4pital de L'Antiquaille, F-69321, Lyon Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Freydi\u00e8re", 
            "givenName": "A. M.", 
            "id": "sg:person.0773154072.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773154072.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "H\u00f4pital de l'Antiquaille", 
              "id": "https://www.grid.ac/institutes/grid.417618.d", 
              "name": [
                "Laboratoire de Bact\u00e9riologie, H\u00f4pital de L'Antiquaille, F-69321, Lyon Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guinet", 
            "givenName": "R.", 
            "id": "sg:person.014112710154.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014112710154.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "H\u00f4pital de l'Antiquaille", 
              "id": "https://www.grid.ac/institutes/grid.417618.d", 
              "name": [
                "Laboratoire de Bact\u00e9riologie, H\u00f4pital de L'Antiquaille, F-69321, Lyon Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gille", 
            "givenName": "Y.", 
            "id": "sg:person.0605115622.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605115622.00"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1111/j.1574-6968.1989.tb03068.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008448554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1574-6968.1989.tb03068.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008448554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1574-6968.1989.tb03068.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008448554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jac/31.4.463", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021615618"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02471913", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023079212", 
              "https://doi.org/10.1007/bf02471913"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02471913", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023079212", 
              "https://doi.org/10.1007/bf02471913"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02019711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032265580", 
              "https://doi.org/10.1007/bf02019711"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02019711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032265580", 
              "https://doi.org/10.1007/bf02019711"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0723-2020(85)80055-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037527095"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejm199110313251803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044274038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01967255", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050629717", 
              "https://doi.org/10.1007/bf01967255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00362178585380181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058282381"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/clinids/14.supplement_1.s43", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059472178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/00207713-34-2-227", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060347796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077203251", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077453717", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078510351", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079599492", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079981279", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1081862134", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082419956", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082538133", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082549999", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082550011", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082597316", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082928613", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082954087", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082955952", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082964475", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082993533", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083019611", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083075967", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083091579", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1998-07", 
        "datePublishedReg": "1998-07-01", 
        "description": "Six commercially available systems for the identification of yeasts were evaluated using 133 clinical isolates and four reference strains that had been previously identified by conventional methods and 19 recent clinical isolates that had been identified by the ID32C system (bioM\u00e9rieux, France). The total identification rates (TIR) established for the total number of strains tested and the database identification rates (DBIR) established for the strains included in the respective manufacturer databases were both determined. After incubation for 4 h, the TIR and DBIR were 78% and 84%, respectively, for the RapID Yeast Plus system (Innovative Diagnostic Systems, USA). After incubation for 24 h, the TIR and DBIR were 32% and 32%, respectively, for the ID32C, 65% and 67% for the Auxacolor system (Sanofi Diagnostics Pasteur, France), 62% and 65% for the Fungichrom I system (International Microbio, France), 52% and 65% for the Fungifast I twin system (International Microbio), and 62% and 68% for the API Candida system (bioM\u00e9rieux). The maximum TIR and DBIR (+/- 1%) obtained after incubation for 48 h were 86% and 88% for the Auxacolor, 85% and 89% for the Fungichrom I, 78% and 98% for the Fungifast I twin, and 82% and 91% for the API Candida. For the ID32C, the maximum TIR and DBIR were 98% and 98%, respectively, but these values were obtained only after 72 h of incubation. In addition, the six systems varied in their ease of use and readings. In conclusion, based on results obtained with 156 strains, the Auxacolor and Fungichrom systems seem the most appropriate for use in a clinical microbiology laboratory, due to their ease of use and reading, their rapidity, their cost per test, and their relatively high TIR results, which indicated acceptable performance with strains frequently isolated in our hospital. For a reference identification, the ID32C remains the sole system usable.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf01691130", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1093599", 
            "issn": [
              "0934-9723", 
              "1435-4373"
            ], 
            "name": "European Journal of Clinical Microbiology & Infectious Diseases", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "17"
          }
        ], 
        "name": "Evaluation of six commercial systems for identification of medically important yeasts", 
        "pagination": "479-488", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "05eac8316c4439f4bd19ba4050a0cedab8409be88202bdb8610901beeedd7912"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "9764550"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "8804297"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf01691130"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1001242207"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf01691130", 
          "https://app.dimensions.ai/details/publication/pub.1001242207"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:31", 
        "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/v90/0000000370_0000000370/records_46757_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF01691130"
      }
    ]
     

    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.10.1007/bf01691130'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf01691130'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01691130'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01691130'


     

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

    197 TRIPLES      21 PREDICATES      67 URIs      30 LITERALS      18 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf01691130 schema:about N2885b8be45fd4648b71cd3fbef986be4
    2 N5f2bf6e499b24a53bcc55f736fa414e0
    3 N6877c879d8e44ed0bf5f69cb3b90b5d2
    4 N867553f5f6f545b7a036b1f7012ed6d2
    5 Na6319c6eac73473490cfc6377c3a134b
    6 Nc31dfec521de4d69a4b92b90a61424ad
    7 Nd0c8d16736294bbd838bdc272251c71e
    8 Ndf53ca8d573544758f5468529625981c
    9 Nf24876cd28934818a7088179d9c6af15
    10 anzsrc-for:11
    11 anzsrc-for:1108
    12 schema:author N36eb2d8c3442497ca35c3170b3155952
    13 schema:citation sg:pub.10.1007/bf01967255
    14 sg:pub.10.1007/bf02019711
    15 sg:pub.10.1007/bf02471913
    16 https://app.dimensions.ai/details/publication/pub.1077203251
    17 https://app.dimensions.ai/details/publication/pub.1077453717
    18 https://app.dimensions.ai/details/publication/pub.1078510351
    19 https://app.dimensions.ai/details/publication/pub.1079599492
    20 https://app.dimensions.ai/details/publication/pub.1079981279
    21 https://app.dimensions.ai/details/publication/pub.1081862134
    22 https://app.dimensions.ai/details/publication/pub.1082419956
    23 https://app.dimensions.ai/details/publication/pub.1082538133
    24 https://app.dimensions.ai/details/publication/pub.1082549999
    25 https://app.dimensions.ai/details/publication/pub.1082550011
    26 https://app.dimensions.ai/details/publication/pub.1082597316
    27 https://app.dimensions.ai/details/publication/pub.1082928613
    28 https://app.dimensions.ai/details/publication/pub.1082954087
    29 https://app.dimensions.ai/details/publication/pub.1082955952
    30 https://app.dimensions.ai/details/publication/pub.1082964475
    31 https://app.dimensions.ai/details/publication/pub.1082993533
    32 https://app.dimensions.ai/details/publication/pub.1083019611
    33 https://app.dimensions.ai/details/publication/pub.1083075967
    34 https://app.dimensions.ai/details/publication/pub.1083091579
    35 https://doi.org/10.1016/s0723-2020(85)80055-2
    36 https://doi.org/10.1056/nejm199110313251803
    37 https://doi.org/10.1080/00362178585380181
    38 https://doi.org/10.1093/clinids/14.supplement_1.s43
    39 https://doi.org/10.1093/jac/31.4.463
    40 https://doi.org/10.1099/00207713-34-2-227
    41 https://doi.org/10.1111/j.1574-6968.1989.tb03068.x
    42 schema:datePublished 1998-07
    43 schema:datePublishedReg 1998-07-01
    44 schema:description Six commercially available systems for the identification of yeasts were evaluated using 133 clinical isolates and four reference strains that had been previously identified by conventional methods and 19 recent clinical isolates that had been identified by the ID32C system (bioMérieux, France). The total identification rates (TIR) established for the total number of strains tested and the database identification rates (DBIR) established for the strains included in the respective manufacturer databases were both determined. After incubation for 4 h, the TIR and DBIR were 78% and 84%, respectively, for the RapID Yeast Plus system (Innovative Diagnostic Systems, USA). After incubation for 24 h, the TIR and DBIR were 32% and 32%, respectively, for the ID32C, 65% and 67% for the Auxacolor system (Sanofi Diagnostics Pasteur, France), 62% and 65% for the Fungichrom I system (International Microbio, France), 52% and 65% for the Fungifast I twin system (International Microbio), and 62% and 68% for the API Candida system (bioMérieux). The maximum TIR and DBIR (+/- 1%) obtained after incubation for 48 h were 86% and 88% for the Auxacolor, 85% and 89% for the Fungichrom I, 78% and 98% for the Fungifast I twin, and 82% and 91% for the API Candida. For the ID32C, the maximum TIR and DBIR were 98% and 98%, respectively, but these values were obtained only after 72 h of incubation. In addition, the six systems varied in their ease of use and readings. In conclusion, based on results obtained with 156 strains, the Auxacolor and Fungichrom systems seem the most appropriate for use in a clinical microbiology laboratory, due to their ease of use and reading, their rapidity, their cost per test, and their relatively high TIR results, which indicated acceptable performance with strains frequently isolated in our hospital. For a reference identification, the ID32C remains the sole system usable.
    45 schema:genre research_article
    46 schema:inLanguage en
    47 schema:isAccessibleForFree false
    48 schema:isPartOf Naf1211cd2b5e44bc9f2d10cf2078d4a9
    49 Nb33933f1a9cc48a29b7b24db7c640fc5
    50 sg:journal.1093599
    51 schema:name Evaluation of six commercial systems for identification of medically important yeasts
    52 schema:pagination 479-488
    53 schema:productId N10a18c92d02f4867a2225fd22e159197
    54 N9640db61e9ae45dab6aa017ad360d7df
    55 Nc296b21ec302404b9f07aff51c70457a
    56 Nc6f88bcb09e2469cb2f70836b31444f1
    57 Nf3e447b609fd480d9592bd7f8eae1adb
    58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001242207
    59 https://doi.org/10.1007/bf01691130
    60 schema:sdDatePublished 2019-04-11T13:31
    61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    62 schema:sdPublisher Nad4c87bf95be410fab900ade57ff9eb0
    63 schema:url http://link.springer.com/10.1007/BF01691130
    64 sgo:license sg:explorer/license/
    65 sgo:sdDataset articles
    66 rdf:type schema:ScholarlyArticle
    67 N10a18c92d02f4867a2225fd22e159197 schema:name nlm_unique_id
    68 schema:value 8804297
    69 rdf:type schema:PropertyValue
    70 N2885b8be45fd4648b71cd3fbef986be4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    71 schema:name Reference Values
    72 rdf:type schema:DefinedTerm
    73 N36eb2d8c3442497ca35c3170b3155952 rdf:first sg:person.01160032257.08
    74 rdf:rest N9c76b0f8305b4248976dbce7bd426d1d
    75 N5f2bf6e499b24a53bcc55f736fa414e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Mycoses
    77 rdf:type schema:DefinedTerm
    78 N6877c879d8e44ed0bf5f69cb3b90b5d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Reproducibility of Results
    80 rdf:type schema:DefinedTerm
    81 N6a1a8e07ebb14c8689842c18f1cdc69d rdf:first sg:person.0605115622.00
    82 rdf:rest rdf:nil
    83 N867553f5f6f545b7a036b1f7012ed6d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    84 schema:name Evaluation Studies as Topic
    85 rdf:type schema:DefinedTerm
    86 N9640db61e9ae45dab6aa017ad360d7df schema:name pubmed_id
    87 schema:value 9764550
    88 rdf:type schema:PropertyValue
    89 N9c76b0f8305b4248976dbce7bd426d1d rdf:first sg:person.0773154072.06
    90 rdf:rest Nf61091940f1e49a5b58fdbb3c655ac9b
    91 Na6319c6eac73473490cfc6377c3a134b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    92 schema:name Species Specificity
    93 rdf:type schema:DefinedTerm
    94 Nad4c87bf95be410fab900ade57ff9eb0 schema:name Springer Nature - SN SciGraph project
    95 rdf:type schema:Organization
    96 Naf1211cd2b5e44bc9f2d10cf2078d4a9 schema:volumeNumber 17
    97 rdf:type schema:PublicationVolume
    98 Nb33933f1a9cc48a29b7b24db7c640fc5 schema:issueNumber 7
    99 rdf:type schema:PublicationIssue
    100 Nc296b21ec302404b9f07aff51c70457a schema:name dimensions_id
    101 schema:value pub.1001242207
    102 rdf:type schema:PropertyValue
    103 Nc31dfec521de4d69a4b92b90a61424ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    104 schema:name Mycological Typing Techniques
    105 rdf:type schema:DefinedTerm
    106 Nc6f88bcb09e2469cb2f70836b31444f1 schema:name readcube_id
    107 schema:value 05eac8316c4439f4bd19ba4050a0cedab8409be88202bdb8610901beeedd7912
    108 rdf:type schema:PropertyValue
    109 Nd0c8d16736294bbd838bdc272251c71e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Reagent Kits, Diagnostic
    111 rdf:type schema:DefinedTerm
    112 Ndf53ca8d573544758f5468529625981c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    113 schema:name Humans
    114 rdf:type schema:DefinedTerm
    115 Nf24876cd28934818a7088179d9c6af15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    116 schema:name Yeasts
    117 rdf:type schema:DefinedTerm
    118 Nf3e447b609fd480d9592bd7f8eae1adb schema:name doi
    119 schema:value 10.1007/bf01691130
    120 rdf:type schema:PropertyValue
    121 Nf61091940f1e49a5b58fdbb3c655ac9b rdf:first sg:person.014112710154.12
    122 rdf:rest N6a1a8e07ebb14c8689842c18f1cdc69d
    123 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    124 schema:name Medical and Health Sciences
    125 rdf:type schema:DefinedTerm
    126 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
    127 schema:name Medical Microbiology
    128 rdf:type schema:DefinedTerm
    129 sg:journal.1093599 schema:issn 0934-9723
    130 1435-4373
    131 schema:name European Journal of Clinical Microbiology & Infectious Diseases
    132 rdf:type schema:Periodical
    133 sg:person.01160032257.08 schema:affiliation https://www.grid.ac/institutes/grid.417618.d
    134 schema:familyName Buchaille
    135 schema:givenName L.
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160032257.08
    137 rdf:type schema:Person
    138 sg:person.014112710154.12 schema:affiliation https://www.grid.ac/institutes/grid.417618.d
    139 schema:familyName Guinet
    140 schema:givenName R.
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014112710154.12
    142 rdf:type schema:Person
    143 sg:person.0605115622.00 schema:affiliation https://www.grid.ac/institutes/grid.417618.d
    144 schema:familyName Gille
    145 schema:givenName Y.
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605115622.00
    147 rdf:type schema:Person
    148 sg:person.0773154072.06 schema:affiliation https://www.grid.ac/institutes/grid.417618.d
    149 schema:familyName Freydière
    150 schema:givenName A. M.
    151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773154072.06
    152 rdf:type schema:Person
    153 sg:pub.10.1007/bf01967255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050629717
    154 https://doi.org/10.1007/bf01967255
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/bf02019711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032265580
    157 https://doi.org/10.1007/bf02019711
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/bf02471913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023079212
    160 https://doi.org/10.1007/bf02471913
    161 rdf:type schema:CreativeWork
    162 https://app.dimensions.ai/details/publication/pub.1077203251 schema:CreativeWork
    163 https://app.dimensions.ai/details/publication/pub.1077453717 schema:CreativeWork
    164 https://app.dimensions.ai/details/publication/pub.1078510351 schema:CreativeWork
    165 https://app.dimensions.ai/details/publication/pub.1079599492 schema:CreativeWork
    166 https://app.dimensions.ai/details/publication/pub.1079981279 schema:CreativeWork
    167 https://app.dimensions.ai/details/publication/pub.1081862134 schema:CreativeWork
    168 https://app.dimensions.ai/details/publication/pub.1082419956 schema:CreativeWork
    169 https://app.dimensions.ai/details/publication/pub.1082538133 schema:CreativeWork
    170 https://app.dimensions.ai/details/publication/pub.1082549999 schema:CreativeWork
    171 https://app.dimensions.ai/details/publication/pub.1082550011 schema:CreativeWork
    172 https://app.dimensions.ai/details/publication/pub.1082597316 schema:CreativeWork
    173 https://app.dimensions.ai/details/publication/pub.1082928613 schema:CreativeWork
    174 https://app.dimensions.ai/details/publication/pub.1082954087 schema:CreativeWork
    175 https://app.dimensions.ai/details/publication/pub.1082955952 schema:CreativeWork
    176 https://app.dimensions.ai/details/publication/pub.1082964475 schema:CreativeWork
    177 https://app.dimensions.ai/details/publication/pub.1082993533 schema:CreativeWork
    178 https://app.dimensions.ai/details/publication/pub.1083019611 schema:CreativeWork
    179 https://app.dimensions.ai/details/publication/pub.1083075967 schema:CreativeWork
    180 https://app.dimensions.ai/details/publication/pub.1083091579 schema:CreativeWork
    181 https://doi.org/10.1016/s0723-2020(85)80055-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037527095
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1056/nejm199110313251803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044274038
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1080/00362178585380181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058282381
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1093/clinids/14.supplement_1.s43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059472178
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1093/jac/31.4.463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021615618
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1099/00207713-34-2-227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060347796
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1111/j.1574-6968.1989.tb03068.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008448554
    194 rdf:type schema:CreativeWork
    195 https://www.grid.ac/institutes/grid.417618.d schema:alternateName Hôpital de l'Antiquaille
    196 schema:name Laboratoire de Bactériologie, Hôpital de L'Antiquaille, F-69321, Lyon Cedex 5, France
    197 rdf:type schema:Organization
     




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


    ...