Bayesian community-wide culture-independent microbial source tracking View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-09

AUTHORS

Dan Knights, Justin Kuczynski, Emily S Charlson, Jesse Zaneveld, Michael C Mozer, Ronald G Collman, Frederic D Bushman, Rob Knight, Scott T Kelley

ABSTRACT

Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing. More... »

PAGES

761

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1650

DOI

http://dx.doi.org/10.1038/nmeth.1650

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005440831

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21765408


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/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "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": "Bayes Theorem", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Community-Acquired Infections", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computational Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross Infection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Reservoirs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environmental Monitoring", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fomites", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intensive Care Units, Neonatal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Interior Design and Furnishings", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Laboratories", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Telephone", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Colorado Boulder", 
          "id": "https://www.grid.ac/institutes/grid.266190.a", 
          "name": [
            "Department of Computer Science, University of Colorado, Boulder, Colorado, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Knights", 
        "givenName": "Dan", 
        "id": "sg:person.01054701157.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054701157.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Colorado Boulder", 
          "id": "https://www.grid.ac/institutes/grid.266190.a", 
          "name": [
            "Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuczynski", 
        "givenName": "Justin", 
        "id": "sg:person.01242576526.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242576526.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pennsylvania", 
          "id": "https://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.", 
            "Department of Microbiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Charlson", 
        "givenName": "Emily S", 
        "id": "sg:person.01312340561.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312340561.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Colorado Boulder", 
          "id": "https://www.grid.ac/institutes/grid.266190.a", 
          "name": [
            "Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zaneveld", 
        "givenName": "Jesse", 
        "id": "sg:person.0753705541.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753705541.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Colorado Boulder", 
          "id": "https://www.grid.ac/institutes/grid.266190.a", 
          "name": [
            "Department of Computer Science, University of Colorado, Boulder, Colorado, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mozer", 
        "givenName": "Michael C", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pennsylvania", 
          "id": "https://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Collman", 
        "givenName": "Ronald G", 
        "id": "sg:person.01222067106.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222067106.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pennsylvania", 
          "id": "https://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bushman", 
        "givenName": "Frederic D", 
        "id": "sg:person.01216060406.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216060406.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Howard Hughes Medical Institute", 
          "id": "https://www.grid.ac/institutes/grid.413575.1", 
          "name": [
            "Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, USA.", 
            "Howard Hughes Medical Institute, Chevy Chase, Maryland, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Knight", 
        "givenName": "Rob", 
        "id": "sg:person.016311745377.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "San Diego State University", 
          "id": "https://www.grid.ac/institutes/grid.263081.e", 
          "name": [
            "Department of Biology, San Diego State University, San Diego, California, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kelley", 
        "givenName": "Scott T", 
        "id": "sg:person.0616435110.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616435110.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1101/gr.112730.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007579011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.f.303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009032055", 
          "https://doi.org/10.1038/nmeth.f.303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.f.303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009032055", 
          "https://doi.org/10.1038/nmeth.f.303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0910-668b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017522391", 
          "https://doi.org/10.1038/nmeth0910-668b"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth0910-668b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017522391", 
          "https://doi.org/10.1038/nmeth0910-668b"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1177486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019669855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/0012-9615(1997)067[0345:saaist]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023223983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1010933404324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024739340", 
          "https://doi.org/10.1023/a:1010933404324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025904619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0307752101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026144033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2180-10-206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027026649", 
          "https://doi.org/10.1186/1471-2180-10-206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msp077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028540883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msp077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028540883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0011285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032820998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2010.01.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035049184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.71.12.8966-8969.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037790825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039730610", 
          "https://doi.org/10.1038/nmeth.1361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039730610", 
          "https://doi.org/10.1038/nmeth.1361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.71.12.8228-8235.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042157769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00335-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043659253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0807920105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044575861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00062-07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045980007"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2010.05.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050713075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es026000b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055495058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es026000b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055495058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2963459", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070149684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083299399", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-09", 
    "datePublishedReg": "2011-09-01", 
    "description": "Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nmeth.1650", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2529347", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2691272", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2684042", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2436201", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2691977", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2438704", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1033763", 
        "issn": [
          "1548-7091", 
          "1548-7105"
        ], 
        "name": "Nature Methods", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Bayesian community-wide culture-independent microbial source tracking", 
    "pagination": "761", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "19ec62f8fcc1aa81fab9dc173855b163335e7b9ff914706628aa5a43c5fa971d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21765408"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101215604"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nmeth.1650"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005440831"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nmeth.1650", 
      "https://app.dimensions.ai/details/publication/pub.1005440831"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:56", 
    "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_8697_00000435.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/nmeth.1650"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1650'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1650'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1650'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth.1650'


 

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

266 TRIPLES      21 PREDICATES      63 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nmeth.1650 schema:about N0b1af501a0494eb086fa29b9456187e4
2 N4df29621199347c99a507f2e33190b17
3 N4f8746347aff46a2a398d98c6ed21c2b
4 N52d5819aec754f55b8826e673424c8ce
5 N5b4b808300db4bbd80eb7a22a4092173
6 N833749851a4f4620bd4ad00b9752bf2e
7 N97dc4827606e4647aaf0f03dab1ec7e1
8 Nbd25e683c6e047d283fcc82919e3d4d3
9 Ncc072e0b29a54b1ca873aac6a1a802c2
10 Ne7afad5ff1bb4f5ab96077a7c50a8d4f
11 Nec7d68b661a14cc1a20fc02b2f1dde89
12 Nff7fa748d28d4d86b0b87ff7dc3ca9b3
13 anzsrc-for:06
14 anzsrc-for:0605
15 schema:author Neaf3f8ca925b4cc1b8b9e21cc2eefdba
16 schema:citation sg:pub.10.1023/a:1010933404324
17 sg:pub.10.1038/nmeth.1361
18 sg:pub.10.1038/nmeth.f.303
19 sg:pub.10.1038/nmeth0910-668b
20 sg:pub.10.1186/1471-2180-10-206
21 https://app.dimensions.ai/details/publication/pub.1083299399
22 https://doi.org/10.1016/j.watres.2010.01.018
23 https://doi.org/10.1016/j.watres.2010.05.019
24 https://doi.org/10.1021/es026000b
25 https://doi.org/10.1073/pnas.0307752101
26 https://doi.org/10.1073/pnas.0807920105
27 https://doi.org/10.1093/bioinformatics/btq461
28 https://doi.org/10.1093/molbev/msp077
29 https://doi.org/10.1101/gr.112730.110
30 https://doi.org/10.1126/science.1177486
31 https://doi.org/10.1128/aem.00062-07
32 https://doi.org/10.1128/aem.00335-09
33 https://doi.org/10.1128/aem.71.12.8228-8235.2005
34 https://doi.org/10.1128/aem.71.12.8966-8969.2005
35 https://doi.org/10.1371/journal.pone.0011285
36 https://doi.org/10.1890/0012-9615(1997)067[0345:saaist]2.0.co;2
37 https://doi.org/10.2307/2963459
38 schema:datePublished 2011-09
39 schema:datePublishedReg 2011-09-01
40 schema:description Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf N55be0b0806c8476f8f26a5444219d58f
45 N8f33afbd19a64968a95dda79af2eb52a
46 sg:journal.1033763
47 schema:name Bayesian community-wide culture-independent microbial source tracking
48 schema:pagination 761
49 schema:productId N8098da55bec040b9a3938f51deb2dc18
50 N9156b2e60ae946cc969fb2b434527022
51 Nb306465bd2774d9fa19186adf1456b20
52 Nb9097e8c1a87485b85a47b8657eb1fee
53 Nf037f53c14c74d1bb26c2d7a4d8e69c2
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005440831
55 https://doi.org/10.1038/nmeth.1650
56 schema:sdDatePublished 2019-04-11T00:56
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N08880efc0181482dbb4e1d1eb5159cc2
59 schema:url https://www.nature.com/articles/nmeth.1650
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N06d3535ee0a942ba8ddde4b2bd236796 rdf:first sg:person.0616435110.50
64 rdf:rest rdf:nil
65 N08880efc0181482dbb4e1d1eb5159cc2 schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N0b1af501a0494eb086fa29b9456187e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Humans
69 rdf:type schema:DefinedTerm
70 N117ee66a1ee54d33a827861631705a05 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
71 schema:familyName Mozer
72 schema:givenName Michael C
73 rdf:type schema:Person
74 N4df29621199347c99a507f2e33190b17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Laboratories
76 rdf:type schema:DefinedTerm
77 N4f8746347aff46a2a398d98c6ed21c2b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Bayes Theorem
79 rdf:type schema:DefinedTerm
80 N52d5819aec754f55b8826e673424c8ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Cross Infection
82 rdf:type schema:DefinedTerm
83 N548610cd3ab3472ab820d59b1d6eb5d3 rdf:first sg:person.01242576526.02
84 rdf:rest Nc9bc20ad816846f6ad48afe5f5bca965
85 N55be0b0806c8476f8f26a5444219d58f schema:issueNumber 9
86 rdf:type schema:PublicationIssue
87 N58a1099c3e054ca6a75f9067fba0108d rdf:first sg:person.01222067106.41
88 rdf:rest N8bcd3d5910f746eb9bb5662dfeb10956
89 N5b4b808300db4bbd80eb7a22a4092173 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Environmental Monitoring
91 rdf:type schema:DefinedTerm
92 N6dace97f0ff040768adc58663dfbbdac rdf:first N117ee66a1ee54d33a827861631705a05
93 rdf:rest N58a1099c3e054ca6a75f9067fba0108d
94 N8098da55bec040b9a3938f51deb2dc18 schema:name doi
95 schema:value 10.1038/nmeth.1650
96 rdf:type schema:PropertyValue
97 N833749851a4f4620bd4ad00b9752bf2e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Disease Reservoirs
99 rdf:type schema:DefinedTerm
100 N8bcd3d5910f746eb9bb5662dfeb10956 rdf:first sg:person.01216060406.79
101 rdf:rest Nd31bf1b4a7744fe29c24d2763079a816
102 N8f33afbd19a64968a95dda79af2eb52a schema:volumeNumber 8
103 rdf:type schema:PublicationVolume
104 N9156b2e60ae946cc969fb2b434527022 schema:name nlm_unique_id
105 schema:value 101215604
106 rdf:type schema:PropertyValue
107 N97dc4827606e4647aaf0f03dab1ec7e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Community-Acquired Infections
109 rdf:type schema:DefinedTerm
110 Nb306465bd2774d9fa19186adf1456b20 schema:name readcube_id
111 schema:value 19ec62f8fcc1aa81fab9dc173855b163335e7b9ff914706628aa5a43c5fa971d
112 rdf:type schema:PropertyValue
113 Nb9097e8c1a87485b85a47b8657eb1fee schema:name dimensions_id
114 schema:value pub.1005440831
115 rdf:type schema:PropertyValue
116 Nbd25e683c6e047d283fcc82919e3d4d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Intensive Care Units, Neonatal
118 rdf:type schema:DefinedTerm
119 Nc9bc20ad816846f6ad48afe5f5bca965 rdf:first sg:person.01312340561.39
120 rdf:rest Ne50ac6e6143f45d9ad9ae5d2fb72cb8c
121 Ncc072e0b29a54b1ca873aac6a1a802c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Computational Biology
123 rdf:type schema:DefinedTerm
124 Nd31bf1b4a7744fe29c24d2763079a816 rdf:first sg:person.016311745377.96
125 rdf:rest N06d3535ee0a942ba8ddde4b2bd236796
126 Ne50ac6e6143f45d9ad9ae5d2fb72cb8c rdf:first sg:person.0753705541.65
127 rdf:rest N6dace97f0ff040768adc58663dfbbdac
128 Ne7afad5ff1bb4f5ab96077a7c50a8d4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Interior Design and Furnishings
130 rdf:type schema:DefinedTerm
131 Neaf3f8ca925b4cc1b8b9e21cc2eefdba rdf:first sg:person.01054701157.41
132 rdf:rest N548610cd3ab3472ab820d59b1d6eb5d3
133 Nec7d68b661a14cc1a20fc02b2f1dde89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Fomites
135 rdf:type schema:DefinedTerm
136 Nf037f53c14c74d1bb26c2d7a4d8e69c2 schema:name pubmed_id
137 schema:value 21765408
138 rdf:type schema:PropertyValue
139 Nff7fa748d28d4d86b0b87ff7dc3ca9b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Telephone
141 rdf:type schema:DefinedTerm
142 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
143 schema:name Biological Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
146 schema:name Microbiology
147 rdf:type schema:DefinedTerm
148 sg:grant.2436201 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1650
149 rdf:type schema:MonetaryGrant
150 sg:grant.2438704 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1650
151 rdf:type schema:MonetaryGrant
152 sg:grant.2529347 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1650
153 rdf:type schema:MonetaryGrant
154 sg:grant.2684042 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1650
155 rdf:type schema:MonetaryGrant
156 sg:grant.2691272 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1650
157 rdf:type schema:MonetaryGrant
158 sg:grant.2691977 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.1650
159 rdf:type schema:MonetaryGrant
160 sg:journal.1033763 schema:issn 1548-7091
161 1548-7105
162 schema:name Nature Methods
163 rdf:type schema:Periodical
164 sg:person.01054701157.41 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
165 schema:familyName Knights
166 schema:givenName Dan
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054701157.41
168 rdf:type schema:Person
169 sg:person.01216060406.79 schema:affiliation https://www.grid.ac/institutes/grid.25879.31
170 schema:familyName Bushman
171 schema:givenName Frederic D
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216060406.79
173 rdf:type schema:Person
174 sg:person.01222067106.41 schema:affiliation https://www.grid.ac/institutes/grid.25879.31
175 schema:familyName Collman
176 schema:givenName Ronald G
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222067106.41
178 rdf:type schema:Person
179 sg:person.01242576526.02 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
180 schema:familyName Kuczynski
181 schema:givenName Justin
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01242576526.02
183 rdf:type schema:Person
184 sg:person.01312340561.39 schema:affiliation https://www.grid.ac/institutes/grid.25879.31
185 schema:familyName Charlson
186 schema:givenName Emily S
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312340561.39
188 rdf:type schema:Person
189 sg:person.016311745377.96 schema:affiliation https://www.grid.ac/institutes/grid.413575.1
190 schema:familyName Knight
191 schema:givenName Rob
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311745377.96
193 rdf:type schema:Person
194 sg:person.0616435110.50 schema:affiliation https://www.grid.ac/institutes/grid.263081.e
195 schema:familyName Kelley
196 schema:givenName Scott T
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0616435110.50
198 rdf:type schema:Person
199 sg:person.0753705541.65 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
200 schema:familyName Zaneveld
201 schema:givenName Jesse
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753705541.65
203 rdf:type schema:Person
204 sg:pub.10.1023/a:1010933404324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024739340
205 https://doi.org/10.1023/a:1010933404324
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/nmeth.1361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039730610
208 https://doi.org/10.1038/nmeth.1361
209 rdf:type schema:CreativeWork
210 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
211 https://doi.org/10.1038/nmeth.f.303
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/nmeth0910-668b schema:sameAs https://app.dimensions.ai/details/publication/pub.1017522391
214 https://doi.org/10.1038/nmeth0910-668b
215 rdf:type schema:CreativeWork
216 sg:pub.10.1186/1471-2180-10-206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027026649
217 https://doi.org/10.1186/1471-2180-10-206
218 rdf:type schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1083299399 schema:CreativeWork
220 https://doi.org/10.1016/j.watres.2010.01.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035049184
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.watres.2010.05.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050713075
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1021/es026000b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055495058
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1073/pnas.0307752101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026144033
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1073/pnas.0807920105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044575861
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/bioinformatics/btq461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025904619
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/molbev/msp077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028540883
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1101/gr.112730.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007579011
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1126/science.1177486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019669855
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1128/aem.00062-07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045980007
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1128/aem.00335-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043659253
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1128/aem.71.12.8228-8235.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042157769
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1128/aem.71.12.8966-8969.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037790825
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1371/journal.pone.0011285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032820998
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1890/0012-9615(1997)067[0345:saaist]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023223983
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2307/2963459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070149684
251 rdf:type schema:CreativeWork
252 https://www.grid.ac/institutes/grid.25879.31 schema:alternateName University of Pennsylvania
253 schema:name Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
254 Department of Microbiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
255 rdf:type schema:Organization
256 https://www.grid.ac/institutes/grid.263081.e schema:alternateName San Diego State University
257 schema:name Department of Biology, San Diego State University, San Diego, California, USA.
258 rdf:type schema:Organization
259 https://www.grid.ac/institutes/grid.266190.a schema:alternateName University of Colorado Boulder
260 schema:name Department of Computer Science, University of Colorado, Boulder, Colorado, USA.
261 Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA.
262 rdf:type schema:Organization
263 https://www.grid.ac/institutes/grid.413575.1 schema:alternateName Howard Hughes Medical Institute
264 schema:name Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado, USA.
265 Howard Hughes Medical Institute, Chevy Chase, Maryland, USA.
266 rdf:type schema:Organization
 




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


...