Validation of a urine metabolome fingerprint in dog for phenotypic classification View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-12

AUTHORS

Mark R. Viant, Christian Ludwig, Sue Rhodes, Ulrich L. Günther, David Allaway

ABSTRACT

Selective breeding of dogs over hundreds of years has inadvertently resulted in breed-specific propensities to particular diseases. Furthermore, it has likely induced more subtle affects on the physiology of certain breeds and moved them from their evolutionary optima. In the absence of obvious disease phenotypes such subtle changes could have yet unrecognised breed-specific implications for health and well-being. Here we have applied NMR metabolomics as a discovery-driven approach to identify the impact of breed on the urinary profile of dog and to determine if non-disease-related breed differences can be identified. Multiple urines were collected non-invasively over a two-week period from seven neutered male Labrador retrievers and miniature Schnauzers. Following NMR analyses by 1-dimensional 1H and 2-dimensional 1H J-resolved (JRES) spectroscopy, principal component analysis revealed that the metabolic variability within each individual is relatively small compared to inter-individual variability, and that some separation between breeds was evident. A supervised model, using partial least squares discriminant analysis (PLS-DA) with class based upon breed, was trained using the JRES data. The model predicted correctly the breed of seven additional urines, yielding a model sensitivity and specificity of 100%. Several significant metabolic differences between the breeds were identified. A second model was developed using PLS-DA with class based upon individual dogs, which again achieved high classification accuracy for the test set. Overall, this confirms that canine urine is information-rich and that breed is a major determinant of urinary metabolic fingerprints. In the future this may enable a more accurate development of specific nutritional care for an individual or breed. More... »

PAGES

453-463

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11306-007-0092-0

DOI

http://dx.doi.org/10.1007/s11306-007-0092-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012239022


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Birmingham", 
          "id": "https://www.grid.ac/institutes/grid.6572.6", 
          "name": [
            "School of Biosciences, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Viant", 
        "givenName": "Mark R.", 
        "id": "sg:person.01140655554.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140655554.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Birmingham", 
          "id": "https://www.grid.ac/institutes/grid.6572.6", 
          "name": [
            "Henry Wellcome Building for Biomolecular NMR Spectroscopy, Division of Cancer Studies, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ludwig", 
        "givenName": "Christian", 
        "id": "sg:person.01112544071.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112544071.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Birmingham", 
          "id": "https://www.grid.ac/institutes/grid.6572.6", 
          "name": [
            "Henry Wellcome Building for Biomolecular NMR Spectroscopy, Division of Cancer Studies, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rhodes", 
        "givenName": "Sue", 
        "id": "sg:person.016343122072.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016343122072.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Birmingham", 
          "id": "https://www.grid.ac/institutes/grid.6572.6", 
          "name": [
            "Henry Wellcome Building for Biomolecular NMR Spectroscopy, Division of Cancer Studies, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00fcnther", 
        "givenName": "Ulrich L.", 
        "id": "sg:person.0733543446.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733543446.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mars (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.435741.0", 
          "name": [
            "WALTHAM Centre for Pet Nutrition, Freeby Lane, Waltham-on-the-Wolds, LE14 4RT, Melton Mowbray, Leicestershire, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Allaway", 
        "givenName": "David", 
        "id": "sg:person.01271065607.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271065607.14"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1006/jmre.2000.2071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001045478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es061354e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002018169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es061354e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002018169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-005-0001-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002888600", 
          "https://doi.org/10.1007/s11306-005-0001-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-005-0001-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002888600", 
          "https://doi.org/10.1007/s11306-005-0001-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/pr060685n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009929724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2004.02.068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012618043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/497836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013160109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1939-1676.2000.tb01492.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017846941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1939-1676.2000.tb01492.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017846941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmra.1995.1047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019747561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2003.09.092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022502205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2003.09.092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022502205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es034281x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026818092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es034281x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026818092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2364(88)90178-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027417642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b501767j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028170007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm1202-802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030228780", 
          "https://doi.org/10.1038/nm1202-802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm1202-802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030228780", 
          "https://doi.org/10.1038/nm1202-802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030526247", 
          "https://doi.org/10.1038/nrd728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030526247", 
          "https://doi.org/10.1038/nrd728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-8-234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030581872", 
          "https://doi.org/10.1186/1471-2105-8-234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2005.01.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033938298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038368215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ab.2006.04.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047456054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1292/jvms.57.205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049621319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1584/jpestics.31.245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051701601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac025691r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054994123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac025691r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054994123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac051495j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac051495j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0517085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0517085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac061354x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054998535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac061354x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054998535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es062745w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055500123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es062745w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055500123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/1536231041388348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059215071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1073906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062446737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/131.3.924s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074780251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/132.5.1031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075043505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jn/132.5.1039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075043506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077000364", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/84.3.531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077294147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789812772435_0016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096057409"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-12", 
    "datePublishedReg": "2007-12-01", 
    "description": "Selective breeding of dogs over hundreds of years has inadvertently resulted in breed-specific propensities to particular diseases. Furthermore, it has likely induced more subtle affects on the physiology of certain breeds and moved them from their evolutionary optima. In the absence of obvious disease phenotypes such subtle changes could have yet unrecognised breed-specific implications for health and well-being. Here we have applied NMR metabolomics as a discovery-driven approach to identify the impact of breed on the urinary profile of dog and to determine if non-disease-related breed differences can be identified. Multiple urines were collected non-invasively over a two-week period from seven neutered male Labrador retrievers and miniature Schnauzers. Following NMR analyses by 1-dimensional 1H and 2-dimensional 1H J-resolved (JRES) spectroscopy, principal component analysis revealed that the metabolic variability within each individual is relatively small compared to inter-individual variability, and that some separation between breeds was evident. A supervised model, using partial least squares discriminant analysis (PLS-DA) with class based upon breed, was trained using the JRES data. The model predicted correctly the breed of seven additional urines, yielding a model sensitivity and specificity of 100%. Several significant metabolic differences between the breeds were identified. A second model was developed using PLS-DA with class based upon individual dogs, which again achieved high classification accuracy for the test set. Overall, this confirms that canine urine is information-rich and that breed is a major determinant of urinary metabolic fingerprints. In the future this may enable a more accurate development of specific nutritional care for an individual or breed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11306-007-0092-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036887", 
        "issn": [
          "1573-3882", 
          "1573-3890"
        ], 
        "name": "Metabolomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "Validation of a urine metabolome fingerprint in dog for phenotypic classification", 
    "pagination": "453-463", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3a4f7845ffeaeccca01693a5f2349ffd2f499cd44d87f2a9acdb7cf2da6ca440"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11306-007-0092-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012239022"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11306-007-0092-0", 
      "https://app.dimensions.ai/details/publication/pub.1012239022"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:59", 
    "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_8681_00000520.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11306-007-0092-0"
  }
]
 

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/s11306-007-0092-0'

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/s11306-007-0092-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11306-007-0092-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11306-007-0092-0'


 

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

195 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11306-007-0092-0 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N14d75e183c26424495fd5c9fd56a0e6b
4 schema:citation sg:pub.10.1007/s11306-005-0001-3
5 sg:pub.10.1038/nm1202-802
6 sg:pub.10.1038/nrd728
7 sg:pub.10.1186/1471-2105-8-234
8 https://app.dimensions.ai/details/publication/pub.1077000364
9 https://doi.org/10.1006/jmra.1995.1047
10 https://doi.org/10.1006/jmre.2000.2071
11 https://doi.org/10.1016/0022-2364(88)90178-3
12 https://doi.org/10.1016/j.ab.2005.01.024
13 https://doi.org/10.1016/j.ab.2006.04.014
14 https://doi.org/10.1016/j.aca.2004.02.068
15 https://doi.org/10.1016/j.bbrc.2003.09.092
16 https://doi.org/10.1021/ac025691r
17 https://doi.org/10.1021/ac051495j
18 https://doi.org/10.1021/ac0517085
19 https://doi.org/10.1021/ac061354x
20 https://doi.org/10.1021/es034281x
21 https://doi.org/10.1021/es061354e
22 https://doi.org/10.1021/es062745w
23 https://doi.org/10.1021/pr060685n
24 https://doi.org/10.1039/b501767j
25 https://doi.org/10.1086/497836
26 https://doi.org/10.1089/1536231041388348
27 https://doi.org/10.1093/ajcn/84.3.531
28 https://doi.org/10.1093/jn/131.3.924s
29 https://doi.org/10.1093/jn/132.5.1031
30 https://doi.org/10.1093/jn/132.5.1039
31 https://doi.org/10.1093/nar/gkl923
32 https://doi.org/10.1111/j.1939-1676.2000.tb01492.x
33 https://doi.org/10.1126/science.1073906
34 https://doi.org/10.1142/9789812772435_0016
35 https://doi.org/10.1292/jvms.57.205
36 https://doi.org/10.1584/jpestics.31.245
37 schema:datePublished 2007-12
38 schema:datePublishedReg 2007-12-01
39 schema:description Selective breeding of dogs over hundreds of years has inadvertently resulted in breed-specific propensities to particular diseases. Furthermore, it has likely induced more subtle affects on the physiology of certain breeds and moved them from their evolutionary optima. In the absence of obvious disease phenotypes such subtle changes could have yet unrecognised breed-specific implications for health and well-being. Here we have applied NMR metabolomics as a discovery-driven approach to identify the impact of breed on the urinary profile of dog and to determine if non-disease-related breed differences can be identified. Multiple urines were collected non-invasively over a two-week period from seven neutered male Labrador retrievers and miniature Schnauzers. Following NMR analyses by 1-dimensional 1H and 2-dimensional 1H J-resolved (JRES) spectroscopy, principal component analysis revealed that the metabolic variability within each individual is relatively small compared to inter-individual variability, and that some separation between breeds was evident. A supervised model, using partial least squares discriminant analysis (PLS-DA) with class based upon breed, was trained using the JRES data. The model predicted correctly the breed of seven additional urines, yielding a model sensitivity and specificity of 100%. Several significant metabolic differences between the breeds were identified. A second model was developed using PLS-DA with class based upon individual dogs, which again achieved high classification accuracy for the test set. Overall, this confirms that canine urine is information-rich and that breed is a major determinant of urinary metabolic fingerprints. In the future this may enable a more accurate development of specific nutritional care for an individual or breed.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N5c9f32a2ac6d43d58519d66ee9c533e6
44 Ne98d5c14da38460c9cdbce6af801c49d
45 sg:journal.1036887
46 schema:name Validation of a urine metabolome fingerprint in dog for phenotypic classification
47 schema:pagination 453-463
48 schema:productId Nce592eab4a6944e2bc2c38fc72fb7cef
49 Nf5f5ade2a7fd4d58819c6d3f51c1bdb9
50 Nfb6dea26cdac4ccd814a9ffaa5e82483
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012239022
52 https://doi.org/10.1007/s11306-007-0092-0
53 schema:sdDatePublished 2019-04-10T19:59
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N9bea0d555a5747ea8dd5ed59f6878c21
56 schema:url http://link.springer.com/10.1007%2Fs11306-007-0092-0
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N14d75e183c26424495fd5c9fd56a0e6b rdf:first sg:person.01140655554.38
61 rdf:rest N456ce40df6f54d4bbc6c40b07fa2e98c
62 N20363e7275264c2aa2c6d629c451df12 rdf:first sg:person.016343122072.07
63 rdf:rest N31b7c5f868b640289d26ddace3eca1e3
64 N31b7c5f868b640289d26ddace3eca1e3 rdf:first sg:person.0733543446.54
65 rdf:rest Ne223a6e6483b4f98912265a856014c48
66 N456ce40df6f54d4bbc6c40b07fa2e98c rdf:first sg:person.01112544071.19
67 rdf:rest N20363e7275264c2aa2c6d629c451df12
68 N5c9f32a2ac6d43d58519d66ee9c533e6 schema:volumeNumber 3
69 rdf:type schema:PublicationVolume
70 N9bea0d555a5747ea8dd5ed59f6878c21 schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 Nce592eab4a6944e2bc2c38fc72fb7cef schema:name readcube_id
73 schema:value 3a4f7845ffeaeccca01693a5f2349ffd2f499cd44d87f2a9acdb7cf2da6ca440
74 rdf:type schema:PropertyValue
75 Ne223a6e6483b4f98912265a856014c48 rdf:first sg:person.01271065607.14
76 rdf:rest rdf:nil
77 Ne98d5c14da38460c9cdbce6af801c49d schema:issueNumber 4
78 rdf:type schema:PublicationIssue
79 Nf5f5ade2a7fd4d58819c6d3f51c1bdb9 schema:name dimensions_id
80 schema:value pub.1012239022
81 rdf:type schema:PropertyValue
82 Nfb6dea26cdac4ccd814a9ffaa5e82483 schema:name doi
83 schema:value 10.1007/s11306-007-0092-0
84 rdf:type schema:PropertyValue
85 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
86 schema:name Medical and Health Sciences
87 rdf:type schema:DefinedTerm
88 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
89 schema:name Public Health and Health Services
90 rdf:type schema:DefinedTerm
91 sg:journal.1036887 schema:issn 1573-3882
92 1573-3890
93 schema:name Metabolomics
94 rdf:type schema:Periodical
95 sg:person.01112544071.19 schema:affiliation https://www.grid.ac/institutes/grid.6572.6
96 schema:familyName Ludwig
97 schema:givenName Christian
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01112544071.19
99 rdf:type schema:Person
100 sg:person.01140655554.38 schema:affiliation https://www.grid.ac/institutes/grid.6572.6
101 schema:familyName Viant
102 schema:givenName Mark R.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140655554.38
104 rdf:type schema:Person
105 sg:person.01271065607.14 schema:affiliation https://www.grid.ac/institutes/grid.435741.0
106 schema:familyName Allaway
107 schema:givenName David
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271065607.14
109 rdf:type schema:Person
110 sg:person.016343122072.07 schema:affiliation https://www.grid.ac/institutes/grid.6572.6
111 schema:familyName Rhodes
112 schema:givenName Sue
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016343122072.07
114 rdf:type schema:Person
115 sg:person.0733543446.54 schema:affiliation https://www.grid.ac/institutes/grid.6572.6
116 schema:familyName Günther
117 schema:givenName Ulrich L.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733543446.54
119 rdf:type schema:Person
120 sg:pub.10.1007/s11306-005-0001-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002888600
121 https://doi.org/10.1007/s11306-005-0001-3
122 rdf:type schema:CreativeWork
123 sg:pub.10.1038/nm1202-802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030228780
124 https://doi.org/10.1038/nm1202-802
125 rdf:type schema:CreativeWork
126 sg:pub.10.1038/nrd728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030526247
127 https://doi.org/10.1038/nrd728
128 rdf:type schema:CreativeWork
129 sg:pub.10.1186/1471-2105-8-234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030581872
130 https://doi.org/10.1186/1471-2105-8-234
131 rdf:type schema:CreativeWork
132 https://app.dimensions.ai/details/publication/pub.1077000364 schema:CreativeWork
133 https://doi.org/10.1006/jmra.1995.1047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019747561
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1006/jmre.2000.2071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001045478
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/0022-2364(88)90178-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027417642
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.ab.2005.01.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033938298
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.ab.2006.04.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047456054
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.aca.2004.02.068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012618043
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.bbrc.2003.09.092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022502205
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1021/ac025691r schema:sameAs https://app.dimensions.ai/details/publication/pub.1054994123
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1021/ac051495j schema:sameAs https://app.dimensions.ai/details/publication/pub.1054997456
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1021/ac0517085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054997550
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1021/ac061354x schema:sameAs https://app.dimensions.ai/details/publication/pub.1054998535
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1021/es034281x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026818092
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1021/es061354e schema:sameAs https://app.dimensions.ai/details/publication/pub.1002018169
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1021/es062745w schema:sameAs https://app.dimensions.ai/details/publication/pub.1055500123
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1021/pr060685n schema:sameAs https://app.dimensions.ai/details/publication/pub.1009929724
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1039/b501767j schema:sameAs https://app.dimensions.ai/details/publication/pub.1028170007
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1086/497836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013160109
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1089/1536231041388348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059215071
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1093/ajcn/84.3.531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077294147
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1093/jn/131.3.924s schema:sameAs https://app.dimensions.ai/details/publication/pub.1074780251
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1093/jn/132.5.1031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075043505
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1093/jn/132.5.1039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075043506
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1093/nar/gkl923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038368215
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1111/j.1939-1676.2000.tb01492.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017846941
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1126/science.1073906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062446737
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1142/9789812772435_0016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096057409
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1292/jvms.57.205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049621319
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1584/jpestics.31.245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051701601
188 rdf:type schema:CreativeWork
189 https://www.grid.ac/institutes/grid.435741.0 schema:alternateName Mars (United Kingdom)
190 schema:name WALTHAM Centre for Pet Nutrition, Freeby Lane, Waltham-on-the-Wolds, LE14 4RT, Melton Mowbray, Leicestershire, UK
191 rdf:type schema:Organization
192 https://www.grid.ac/institutes/grid.6572.6 schema:alternateName University of Birmingham
193 schema:name Henry Wellcome Building for Biomolecular NMR Spectroscopy, Division of Cancer Studies, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK
194 School of Biosciences, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK
195 rdf:type schema:Organization
 




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


...