Comparison of Vitek Matrix-assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Versus Conventional Methods in Candida Identification View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-02

AUTHORS

Sema Aşkın Keçeli, Devrim Dündar, Gülden Sönmez Tamer

ABSTRACT

Candida species are generally identified by conventional methods such as germ tube or morphological appearance on corn meal agar, biochemical methods using API kits and molecular biological methods. Alternative to these methods, rapid and accurate identification methods of microorganisms called matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDİ-TOF MS) has recently been described. In this study, Candida identification results by API Candida kit, API 20C AUX kit and identifications on corn meal agar (CMA) are compared with the results obtained on Vitek-MS. All results were confirmed by sequencing internal transcribed spacer (ITS) regions of rDNA. Totally, 97 Candida strains were identified by germ tube test, CMA, API and Vitek-MS. Vitek-MS results were compatible with 74.2 % of API 20C AUX and 81.4 % of CMA results. The difference between the results of API Candida and API 20C AUX was detected. The ratio of discrepancy between Vitek-MS and API 20C AUX was 25.8 %. Candida species mostly identified as C. famata or C. tropicalis by and not compatible with API kits were identified as C. albicans by Vitek-MS. Sixteen Candida species having discrepant results with Vitek-MS, API or CMA were randomly chosen, and ITS sequence analysis was performed. The results of sequencing were compatible 56.2 % with API 20C AUX, 50 % with CMA and 93.7 % with Vitek-MS. When compared with conventional identification methods, MS results are more reliable and rapid for Candida identification. MS system may be used as routine identification method in clinical microbiology laboratories. More... »

PAGES

67-73

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11046-015-9944-8

DOI

http://dx.doi.org/10.1007/s11046-015-9944-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003297413

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26400863


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Candida", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Fungal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Ribosomal Spacer", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microbiological Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kocaeli \u00dcniversitesi Ara\u015ft\u0131rma ve Uygulama Hastanesi", 
          "id": "https://www.grid.ac/institutes/grid.459718.6", 
          "name": [
            "Department of Med\u0131cal\u00a0M\u0131crob\u0131ology, Kocael\u0131 Un\u0131vers\u0131ty Hosp\u0131tal, Kocael\u0131, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ke\u00e7eli", 
        "givenName": "Sema A\u015fk\u0131n", 
        "id": "sg:person.01350453230.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350453230.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kocaeli \u00dcniversitesi Ara\u015ft\u0131rma ve Uygulama Hastanesi", 
          "id": "https://www.grid.ac/institutes/grid.459718.6", 
          "name": [
            "Department of Med\u0131cal\u00a0M\u0131crob\u0131ology, Kocael\u0131 Un\u0131vers\u0131ty Hosp\u0131tal, Kocael\u0131, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "D\u00fcndar", 
        "givenName": "Devrim", 
        "id": "sg:person.0737063663.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737063663.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kocaeli \u00dcniversitesi Ara\u015ft\u0131rma ve Uygulama Hastanesi", 
          "id": "https://www.grid.ac/institutes/grid.459718.6", 
          "name": [
            "Department of Med\u0131cal\u00a0M\u0131crob\u0131ology, Kocael\u0131 Un\u0131vers\u0131ty Hosp\u0131tal, Kocael\u0131, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tamer", 
        "givenName": "G\u00fclden S\u00f6nmez", 
        "id": "sg:person.01347305437.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347305437.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/jcm.01686-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000246190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-0691.2010.03398.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002734968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.44.3.693-699.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003115768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0008862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003705779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-372180-8.50042-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004812051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mas.10004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006023216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.00687-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009102203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1469-0691.12210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012346655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.06713-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017021918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.02071-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025301506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1439-0507.2011.02086.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028318073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmoldx.2010.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032063901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-0691.2009.02758.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032429076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diagmicrobio.2013.04.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037102021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.17.3389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047265454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.00389-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047860061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jcp.52.4.271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050000981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eimc.2011.03.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051979797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/cmr.00029-06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052935923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac010651t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054992593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac010651t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054992593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/mmy.39.1.9.33", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058429594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647426", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02", 
    "datePublishedReg": "2016-02-01", 
    "description": "Candida species are generally identified by conventional methods such as germ tube or morphological appearance on corn meal agar, biochemical methods using API kits and molecular biological methods. Alternative to these methods, rapid and accurate identification methods of microorganisms called matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALD\u0130-TOF MS) has recently been described. In this study, Candida identification results by API Candida kit, API 20C AUX kit and identifications on corn meal agar (CMA) are compared with the results obtained on Vitek-MS. All results were confirmed by sequencing internal transcribed spacer (ITS) regions of rDNA. Totally, 97 Candida strains were identified by germ tube test, CMA, API and Vitek-MS. Vitek-MS results were compatible with 74.2 % of API 20C AUX and 81.4 % of CMA results. The difference between the results of API Candida and API 20C AUX was detected. The ratio of discrepancy between Vitek-MS and API 20C AUX was 25.8 %. Candida species mostly identified as C. famata or C. tropicalis by and not compatible with API kits were identified as C. albicans by Vitek-MS. Sixteen Candida species having discrepant results with Vitek-MS, API or CMA were randomly chosen, and ITS sequence analysis was performed. The results of sequencing were compatible 56.2 % with API 20C AUX, 50 % with CMA and 93.7 % with Vitek-MS. When compared with conventional identification methods, MS results are more reliable and rapid for Candida identification. MS system may be used as routine identification method in clinical microbiology laboratories.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11046-015-9944-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018781", 
        "issn": [
          "0301-486X", 
          "1573-0832"
        ], 
        "name": "Mycopathologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1-2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "181"
      }
    ], 
    "name": "Comparison of Vitek Matrix-assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Versus Conventional Methods in Candida Identification", 
    "pagination": "67-73", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0fb4c8d5eddef6190508a674eaa1b5a20525584791d9a47122d96be7b4226f52"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26400863"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7505689"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11046-015-9944-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003297413"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11046-015-9944-8", 
      "https://app.dimensions.ai/details/publication/pub.1003297413"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:41", 
    "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/v90/0000000001_0000000264/records_8669_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11046-015-9944-8"
  }
]
 

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/s11046-015-9944-8'

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/s11046-015-9944-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11046-015-9944-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11046-015-9944-8'


 

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

176 TRIPLES      21 PREDICATES      58 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11046-015-9944-8 schema:about N045626ab60604df39ed7fba689611d6d
2 N219a0a3ca9794641b5fadaf9a6ea3f69
3 N9638f50851b14ed7bf69081b2f614ddb
4 N9f6fb413feef4d61b20ec96a792c74c4
5 Na737ecccf48144c0b56f3c6a5a7044be
6 Nc61d7c72c6cd4a51a6216fe5d1d3d621
7 Ne288ca56d29d4df19ed8c8d214c15595
8 anzsrc-for:06
9 anzsrc-for:0604
10 schema:author N9305152341ab4d4c8672d26fd917cc26
11 schema:citation https://app.dimensions.ai/details/publication/pub.1074647426
12 https://doi.org/10.1002/mas.10004
13 https://doi.org/10.1016/b978-0-12-372180-8.50042-1
14 https://doi.org/10.1016/j.diagmicrobio.2013.04.013
15 https://doi.org/10.1016/j.eimc.2011.03.014
16 https://doi.org/10.1016/j.jmoldx.2010.11.014
17 https://doi.org/10.1021/ac010651t
18 https://doi.org/10.1080/mmy.39.1.9.33
19 https://doi.org/10.1093/nar/25.17.3389
20 https://doi.org/10.1111/1469-0691.12210
21 https://doi.org/10.1111/j.1439-0507.2011.02086.x
22 https://doi.org/10.1111/j.1469-0691.2009.02758.x
23 https://doi.org/10.1111/j.1469-0691.2010.03398.x
24 https://doi.org/10.1128/cmr.00029-06
25 https://doi.org/10.1128/jcm.00389-09
26 https://doi.org/10.1128/jcm.00687-09
27 https://doi.org/10.1128/jcm.01686-12
28 https://doi.org/10.1128/jcm.02071-09
29 https://doi.org/10.1128/jcm.06713-11
30 https://doi.org/10.1128/jcm.44.3.693-699.2006
31 https://doi.org/10.1136/jcp.52.4.271
32 https://doi.org/10.1371/journal.pone.0008862
33 schema:datePublished 2016-02
34 schema:datePublishedReg 2016-02-01
35 schema:description Candida species are generally identified by conventional methods such as germ tube or morphological appearance on corn meal agar, biochemical methods using API kits and molecular biological methods. Alternative to these methods, rapid and accurate identification methods of microorganisms called matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDİ-TOF MS) has recently been described. In this study, Candida identification results by API Candida kit, API 20C AUX kit and identifications on corn meal agar (CMA) are compared with the results obtained on Vitek-MS. All results were confirmed by sequencing internal transcribed spacer (ITS) regions of rDNA. Totally, 97 Candida strains were identified by germ tube test, CMA, API and Vitek-MS. Vitek-MS results were compatible with 74.2 % of API 20C AUX and 81.4 % of CMA results. The difference between the results of API Candida and API 20C AUX was detected. The ratio of discrepancy between Vitek-MS and API 20C AUX was 25.8 %. Candida species mostly identified as C. famata or C. tropicalis by and not compatible with API kits were identified as C. albicans by Vitek-MS. Sixteen Candida species having discrepant results with Vitek-MS, API or CMA were randomly chosen, and ITS sequence analysis was performed. The results of sequencing were compatible 56.2 % with API 20C AUX, 50 % with CMA and 93.7 % with Vitek-MS. When compared with conventional identification methods, MS results are more reliable and rapid for Candida identification. MS system may be used as routine identification method in clinical microbiology laboratories.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree false
39 schema:isPartOf N7574c214fd834ea587c5e5238afc2c54
40 Ne1849be32cb047d982b184b565c62b78
41 sg:journal.1018781
42 schema:name Comparison of Vitek Matrix-assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Versus Conventional Methods in Candida Identification
43 schema:pagination 67-73
44 schema:productId N3a7cea875102433c9aae055a02f0c005
45 N4297c1eead6840d99d9e64f2fbb6e3c3
46 N4db10924e72d4861b595258a45deeb1e
47 N60aa1a9b3439495b94b0130c9459182f
48 Nac6d6370b6ea4c90a6cd2b9b0b48e1fc
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003297413
50 https://doi.org/10.1007/s11046-015-9944-8
51 schema:sdDatePublished 2019-04-10T16:41
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N9d9508ab2e784cef9b3ebc61602de066
54 schema:url http://link.springer.com/10.1007%2Fs11046-015-9944-8
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N045626ab60604df39ed7fba689611d6d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Sequence Analysis, DNA
60 rdf:type schema:DefinedTerm
61 N219a0a3ca9794641b5fadaf9a6ea3f69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
63 rdf:type schema:DefinedTerm
64 N3a7cea875102433c9aae055a02f0c005 schema:name doi
65 schema:value 10.1007/s11046-015-9944-8
66 rdf:type schema:PropertyValue
67 N4297c1eead6840d99d9e64f2fbb6e3c3 schema:name dimensions_id
68 schema:value pub.1003297413
69 rdf:type schema:PropertyValue
70 N4db10924e72d4861b595258a45deeb1e schema:name pubmed_id
71 schema:value 26400863
72 rdf:type schema:PropertyValue
73 N60aa1a9b3439495b94b0130c9459182f schema:name nlm_unique_id
74 schema:value 7505689
75 rdf:type schema:PropertyValue
76 N7574c214fd834ea587c5e5238afc2c54 schema:volumeNumber 181
77 rdf:type schema:PublicationVolume
78 N9305152341ab4d4c8672d26fd917cc26 rdf:first sg:person.01350453230.33
79 rdf:rest Ne7687e16b04e47adac7cc9984de96741
80 N9638f50851b14ed7bf69081b2f614ddb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Time Factors
82 rdf:type schema:DefinedTerm
83 N9d9508ab2e784cef9b3ebc61602de066 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N9f6fb413feef4d61b20ec96a792c74c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name DNA, Fungal
87 rdf:type schema:DefinedTerm
88 Na737ecccf48144c0b56f3c6a5a7044be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Candida
90 rdf:type schema:DefinedTerm
91 Nac6d6370b6ea4c90a6cd2b9b0b48e1fc schema:name readcube_id
92 schema:value 0fb4c8d5eddef6190508a674eaa1b5a20525584791d9a47122d96be7b4226f52
93 rdf:type schema:PropertyValue
94 Nc61d7c72c6cd4a51a6216fe5d1d3d621 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name DNA, Ribosomal Spacer
96 rdf:type schema:DefinedTerm
97 Ne1849be32cb047d982b184b565c62b78 schema:issueNumber 1-2
98 rdf:type schema:PublicationIssue
99 Ne288ca56d29d4df19ed8c8d214c15595 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Microbiological Techniques
101 rdf:type schema:DefinedTerm
102 Ne7687e16b04e47adac7cc9984de96741 rdf:first sg:person.0737063663.07
103 rdf:rest Nf2b5d0da17464786a1c1abf0638961b1
104 Nf2b5d0da17464786a1c1abf0638961b1 rdf:first sg:person.01347305437.29
105 rdf:rest rdf:nil
106 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
107 schema:name Biological Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
110 schema:name Genetics
111 rdf:type schema:DefinedTerm
112 sg:journal.1018781 schema:issn 0301-486X
113 1573-0832
114 schema:name Mycopathologia
115 rdf:type schema:Periodical
116 sg:person.01347305437.29 schema:affiliation https://www.grid.ac/institutes/grid.459718.6
117 schema:familyName Tamer
118 schema:givenName Gülden Sönmez
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347305437.29
120 rdf:type schema:Person
121 sg:person.01350453230.33 schema:affiliation https://www.grid.ac/institutes/grid.459718.6
122 schema:familyName Keçeli
123 schema:givenName Sema Aşkın
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350453230.33
125 rdf:type schema:Person
126 sg:person.0737063663.07 schema:affiliation https://www.grid.ac/institutes/grid.459718.6
127 schema:familyName Dündar
128 schema:givenName Devrim
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737063663.07
130 rdf:type schema:Person
131 https://app.dimensions.ai/details/publication/pub.1074647426 schema:CreativeWork
132 https://doi.org/10.1002/mas.10004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006023216
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/b978-0-12-372180-8.50042-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004812051
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.diagmicrobio.2013.04.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037102021
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.eimc.2011.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051979797
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.jmoldx.2010.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032063901
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1021/ac010651t schema:sameAs https://app.dimensions.ai/details/publication/pub.1054992593
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1080/mmy.39.1.9.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058429594
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1093/nar/25.17.3389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047265454
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1111/1469-0691.12210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012346655
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1111/j.1439-0507.2011.02086.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028318073
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1111/j.1469-0691.2009.02758.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032429076
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1111/j.1469-0691.2010.03398.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002734968
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1128/cmr.00029-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052935923
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1128/jcm.00389-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047860061
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1128/jcm.00687-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009102203
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1128/jcm.01686-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000246190
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1128/jcm.02071-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025301506
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1128/jcm.06713-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017021918
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1128/jcm.44.3.693-699.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003115768
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1136/jcp.52.4.271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050000981
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1371/journal.pone.0008862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003705779
173 rdf:type schema:CreativeWork
174 https://www.grid.ac/institutes/grid.459718.6 schema:alternateName Kocaeli Üniversitesi Araştırma ve Uygulama Hastanesi
175 schema:name Department of Medıcal Mıcrobıology, Kocaelı Unıversıty Hospıtal, Kocaelı, Turkey
176 rdf:type schema:Organization
 




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


...