Privacy protections: The genome hacker View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-05-08

AUTHORS

Erika Check Hayden

ABSTRACT

Yaniv Erlich shows how research participants can be identified from 'anonymous' DNA.

PAGES

172

Journal

TITLE

Nature

ISSUE

7448

VOLUME

497

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/497172a

DOI

http://dx.doi.org/10.1038/497172a

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044150532

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23657330


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", 
    "author": [
      {
        "familyName": "Hayden", 
        "givenName": "Erika Check", 
        "id": "sg:person.01201045662.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201045662.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013666372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1229566", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015829888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.092957.109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022972643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0050254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028942453"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-05-08", 
    "datePublishedReg": "2013-05-08", 
    "description": "Yaniv Erlich shows how research participants can be identified from 'anonymous' DNA.", 
    "genre": "non_research_article", 
    "id": "sg:pub.10.1038/497172a", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7448", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "497"
      }
    ], 
    "name": "Privacy protections: The genome hacker", 
    "pagination": "172", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d24dbd45ce74c54f0761441739966f8032c0233912685f9ac417def459a70508"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23657330"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/497172a"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044150532"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/497172a", 
      "https://app.dimensions.ai/details/publication/pub.1044150532"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:25", 
    "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_8687_00000426.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/news/privacy-protections-the-genome-hacker-1.12940"
  }
]
 

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.10.1038/497172a'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/497172a'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/497172a'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/497172a'


 

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

69 TRIPLES      20 PREDICATES      30 URIs      20 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/497172a schema:author Nb2b0980244d44202947b0edf4717127c
2 schema:citation https://doi.org/10.1101/gr.092957.109
3 https://doi.org/10.1126/science.1229566
4 https://doi.org/10.1371/journal.pbio.0050254
5 https://doi.org/10.1371/journal.pgen.1000167
6 schema:datePublished 2013-05-08
7 schema:datePublishedReg 2013-05-08
8 schema:description Yaniv Erlich shows how research participants can be identified from 'anonymous' DNA.
9 schema:genre non_research_article
10 schema:inLanguage en
11 schema:isAccessibleForFree true
12 schema:isPartOf N43c16b9040d64e69a740b815e9eb574d
13 N7990157f5cc742d0aa69a6efa891f324
14 sg:journal.1018957
15 schema:name Privacy protections: The genome hacker
16 schema:pagination 172
17 schema:productId N2db462df1f024668a91f381ffd06ea82
18 N76155874f635461681fff3eb12e3855d
19 N7f5a004a1bc44e8bac61076f2460df04
20 Nabf5140388754d16b69a6154d59b503b
21 Nd8abd84031eb4f62994ba720788dab6d
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044150532
23 https://doi.org/10.1038/497172a
24 schema:sdDatePublished 2019-04-10T21:25
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Nd4d1df39440346dbb083bb51db0a6f80
27 schema:url http://www.nature.com/news/privacy-protections-the-genome-hacker-1.12940
28 sgo:license sg:explorer/license/
29 sgo:sdDataset articles
30 rdf:type schema:ScholarlyArticle
31 N2db462df1f024668a91f381ffd06ea82 schema:name pubmed_id
32 schema:value 23657330
33 rdf:type schema:PropertyValue
34 N43c16b9040d64e69a740b815e9eb574d schema:issueNumber 7448
35 rdf:type schema:PublicationIssue
36 N76155874f635461681fff3eb12e3855d schema:name doi
37 schema:value 10.1038/497172a
38 rdf:type schema:PropertyValue
39 N7990157f5cc742d0aa69a6efa891f324 schema:volumeNumber 497
40 rdf:type schema:PublicationVolume
41 N7f5a004a1bc44e8bac61076f2460df04 schema:name dimensions_id
42 schema:value pub.1044150532
43 rdf:type schema:PropertyValue
44 Nabf5140388754d16b69a6154d59b503b schema:name readcube_id
45 schema:value d24dbd45ce74c54f0761441739966f8032c0233912685f9ac417def459a70508
46 rdf:type schema:PropertyValue
47 Nb2b0980244d44202947b0edf4717127c rdf:first sg:person.01201045662.29
48 rdf:rest rdf:nil
49 Nd4d1df39440346dbb083bb51db0a6f80 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 Nd8abd84031eb4f62994ba720788dab6d schema:name nlm_unique_id
52 schema:value 0410462
53 rdf:type schema:PropertyValue
54 sg:journal.1018957 schema:issn 0090-0028
55 1476-4687
56 schema:name Nature
57 rdf:type schema:Periodical
58 sg:person.01201045662.29 schema:familyName Hayden
59 schema:givenName Erika Check
60 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201045662.29
61 rdf:type schema:Person
62 https://doi.org/10.1101/gr.092957.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022972643
63 rdf:type schema:CreativeWork
64 https://doi.org/10.1126/science.1229566 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015829888
65 rdf:type schema:CreativeWork
66 https://doi.org/10.1371/journal.pbio.0050254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028942453
67 rdf:type schema:CreativeWork
68 https://doi.org/10.1371/journal.pgen.1000167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013666372
69 rdf:type schema:CreativeWork
 




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


...