A task-based approach for Gene Ontology evaluation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-04

AUTHORS

Erik L Clarke, Salvatore Loguercio, Benjamin M Good, Andrew I Su

ABSTRACT

BACKGROUND: The Gene Ontology and its associated annotations are critical tools for interpreting lists of genes. Here, we introduce a method for evaluating the Gene Ontology annotations and structure based on the impact they have on gene set enrichment analysis, along with an example implementation. This task-based approach yields quantitative assessments grounded in experimental data and anchored tightly to the primary use of the annotations. RESULTS: Applied to specific areas of biological interest, our framework allowed us to understand the progress of annotation and structural ontology changes from 2004 to 2012. Our framework was also able to determine that the quality of annotations and structure in the area under test have been improving in their ability to recall underlying biological traits. Furthermore, we were able to distinguish between the impact of changes to the annotation sets and ontology structure. CONCLUSION: Our framework and implementation lay the groundwork for a powerful tool in evaluating the usefulness of the Gene Ontology. We demonstrate both the flexibility and the power of this approach in evaluating the current and past state of the Gene Ontology as well as its applicability in developing new methods for creating gene annotations. More... »

PAGES

s4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/2041-1480-4-s1-s4

DOI

http://dx.doi.org/10.1186/2041-1480-4-s1-s4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000284938

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23734599


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Scripps Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.214007.0", 
          "name": [
            "The Scripps Research Institute, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clarke", 
        "givenName": "Erik L", 
        "id": "sg:person.01217602121.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217602121.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Scripps Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.214007.0", 
          "name": [
            "The Scripps Research Institute, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loguercio", 
        "givenName": "Salvatore", 
        "id": "sg:person.01265715321.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265715321.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Scripps Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.214007.0", 
          "name": [
            "The Scripps Research Institute, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Good", 
        "givenName": "Benjamin M", 
        "id": "sg:person.01151466721.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151466721.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Scripps Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.214007.0", 
          "name": [
            "The Scripps Research Institute, La Jolla, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Su", 
        "givenName": "Andrew I", 
        "id": "sg:person.0734501725.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734501725.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/gkm1167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003062683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/30.1.207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005297170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ccr.2006.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009775480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-02879-3_7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010220917", 
          "https://doi.org/10.1007/978-3-642-02879-3_7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-02879-3_7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010220917", 
          "https://doi.org/10.1007/978-3-642-02879-3_7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-8-170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018777295", 
          "https://doi.org/10.1186/1471-2105-8-170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-8-170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018777295", 
          "https://doi.org/10.1186/1471-2105-8-170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019374287", 
          "https://doi.org/10.1038/nature09557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature09557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019374287", 
          "https://doi.org/10.1038/nature09557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0027541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022010865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1002533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028515073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1000605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034813941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr1048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035251836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0506580102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037705714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0506580102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037705714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/75556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044135237", 
          "https://doi.org/10.1038/75556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/75556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044135237", 
          "https://doi.org/10.1038/75556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/16.11.953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045857704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bts498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046203552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047610281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti565", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050298763"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-04", 
    "datePublishedReg": "2013-04-01", 
    "description": "BACKGROUND: The Gene Ontology and its associated annotations are critical tools for interpreting lists of genes. Here, we introduce a method for evaluating the Gene Ontology annotations and structure based on the impact they have on gene set enrichment analysis, along with an example implementation. This task-based approach yields quantitative assessments grounded in experimental data and anchored tightly to the primary use of the annotations.\nRESULTS: Applied to specific areas of biological interest, our framework allowed us to understand the progress of annotation and structural ontology changes from 2004 to 2012. Our framework was also able to determine that the quality of annotations and structure in the area under test have been improving in their ability to recall underlying biological traits. Furthermore, we were able to distinguish between the impact of changes to the annotation sets and ontology structure.\nCONCLUSION: Our framework and implementation lay the groundwork for a powerful tool in evaluating the usefulness of the Gene Ontology. We demonstrate both the flexibility and the power of this approach in evaluating the current and past state of the Gene Ontology as well as its applicability in developing new methods for creating gene annotations.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/2041-1480-4-s1-s4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2520635", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2519910", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043573", 
        "issn": [
          "2041-1480"
        ], 
        "name": "Journal of Biomedical Semantics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "A task-based approach for Gene Ontology evaluation", 
    "pagination": "s4", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "015ac191210bf6543cd968685af788385255392521e6c4a718f7e574c934313d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23734599"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101531992"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/2041-1480-4-s1-s4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000284938"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/2041-1480-4-s1-s4", 
      "https://app.dimensions.ai/details/publication/pub.1000284938"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:47", 
    "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_00000536.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F2041-1480-4-S1-S4"
  }
]
 

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.10.1186/2041-1480-4-s1-s4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/2041-1480-4-s1-s4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/2041-1480-4-s1-s4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/2041-1480-4-s1-s4'


 

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

145 TRIPLES      21 PREDICATES      45 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/2041-1480-4-s1-s4 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N49ffbef0aee649d2b96eb34dc8486a74
4 schema:citation sg:pub.10.1007/978-3-642-02879-3_7
5 sg:pub.10.1038/75556
6 sg:pub.10.1038/nature09557
7 sg:pub.10.1186/1471-2105-8-170
8 https://doi.org/10.1016/j.ccr.2006.03.003
9 https://doi.org/10.1073/pnas.0506580102
10 https://doi.org/10.1093/bioinformatics/16.11.953
11 https://doi.org/10.1093/bioinformatics/bti565
12 https://doi.org/10.1093/bioinformatics/bts498
13 https://doi.org/10.1093/nar/30.1.207
14 https://doi.org/10.1093/nar/gkm1167
15 https://doi.org/10.1093/nar/gkn923
16 https://doi.org/10.1093/nar/gkr1048
17 https://doi.org/10.1371/journal.pcbi.1000605
18 https://doi.org/10.1371/journal.pcbi.1002533
19 https://doi.org/10.1371/journal.pone.0027541
20 schema:datePublished 2013-04
21 schema:datePublishedReg 2013-04-01
22 schema:description BACKGROUND: The Gene Ontology and its associated annotations are critical tools for interpreting lists of genes. Here, we introduce a method for evaluating the Gene Ontology annotations and structure based on the impact they have on gene set enrichment analysis, along with an example implementation. This task-based approach yields quantitative assessments grounded in experimental data and anchored tightly to the primary use of the annotations. RESULTS: Applied to specific areas of biological interest, our framework allowed us to understand the progress of annotation and structural ontology changes from 2004 to 2012. Our framework was also able to determine that the quality of annotations and structure in the area under test have been improving in their ability to recall underlying biological traits. Furthermore, we were able to distinguish between the impact of changes to the annotation sets and ontology structure. CONCLUSION: Our framework and implementation lay the groundwork for a powerful tool in evaluating the usefulness of the Gene Ontology. We demonstrate both the flexibility and the power of this approach in evaluating the current and past state of the Gene Ontology as well as its applicability in developing new methods for creating gene annotations.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree true
26 schema:isPartOf N8d8e5d70660b41929fe92ffa181be2a1
27 Ndc87f99b5ac54792b3a2dffaef76d9c2
28 sg:journal.1043573
29 schema:name A task-based approach for Gene Ontology evaluation
30 schema:pagination s4
31 schema:productId N4a9eb31b96df4781aa58278a87191e90
32 N5cff5894a5214ab6a4871dafbedebe2b
33 N69fb1b2595cb49eab908f70469842a10
34 Nde399288483a4de68a20df999387adc8
35 Ne858324b26be440894c4ff5a4f8f505f
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000284938
37 https://doi.org/10.1186/2041-1480-4-s1-s4
38 schema:sdDatePublished 2019-04-10T16:47
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher Na1aa3e03e20b4eff8b2a7fa93a1f8299
41 schema:url http://link.springer.com/10.1186%2F2041-1480-4-S1-S4
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N49ffbef0aee649d2b96eb34dc8486a74 rdf:first sg:person.01217602121.74
46 rdf:rest Nd7f30594288748ebab36b9d12a5e416b
47 N4a9eb31b96df4781aa58278a87191e90 schema:name readcube_id
48 schema:value 015ac191210bf6543cd968685af788385255392521e6c4a718f7e574c934313d
49 rdf:type schema:PropertyValue
50 N55ec8317a3c34b058b95aed27781a71e rdf:first sg:person.01151466721.16
51 rdf:rest Nb8e8cca306214ba1b67c68c326823dd3
52 N5cff5894a5214ab6a4871dafbedebe2b schema:name doi
53 schema:value 10.1186/2041-1480-4-s1-s4
54 rdf:type schema:PropertyValue
55 N69fb1b2595cb49eab908f70469842a10 schema:name dimensions_id
56 schema:value pub.1000284938
57 rdf:type schema:PropertyValue
58 N8d8e5d70660b41929fe92ffa181be2a1 schema:volumeNumber 4
59 rdf:type schema:PublicationVolume
60 Na1aa3e03e20b4eff8b2a7fa93a1f8299 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 Nb8e8cca306214ba1b67c68c326823dd3 rdf:first sg:person.0734501725.37
63 rdf:rest rdf:nil
64 Nd7f30594288748ebab36b9d12a5e416b rdf:first sg:person.01265715321.43
65 rdf:rest N55ec8317a3c34b058b95aed27781a71e
66 Ndc87f99b5ac54792b3a2dffaef76d9c2 schema:issueNumber Suppl 1
67 rdf:type schema:PublicationIssue
68 Nde399288483a4de68a20df999387adc8 schema:name nlm_unique_id
69 schema:value 101531992
70 rdf:type schema:PropertyValue
71 Ne858324b26be440894c4ff5a4f8f505f schema:name pubmed_id
72 schema:value 23734599
73 rdf:type schema:PropertyValue
74 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
75 schema:name Biological Sciences
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
78 schema:name Genetics
79 rdf:type schema:DefinedTerm
80 sg:grant.2519910 http://pending.schema.org/fundedItem sg:pub.10.1186/2041-1480-4-s1-s4
81 rdf:type schema:MonetaryGrant
82 sg:grant.2520635 http://pending.schema.org/fundedItem sg:pub.10.1186/2041-1480-4-s1-s4
83 rdf:type schema:MonetaryGrant
84 sg:journal.1043573 schema:issn 2041-1480
85 schema:name Journal of Biomedical Semantics
86 rdf:type schema:Periodical
87 sg:person.01151466721.16 schema:affiliation https://www.grid.ac/institutes/grid.214007.0
88 schema:familyName Good
89 schema:givenName Benjamin M
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151466721.16
91 rdf:type schema:Person
92 sg:person.01217602121.74 schema:affiliation https://www.grid.ac/institutes/grid.214007.0
93 schema:familyName Clarke
94 schema:givenName Erik L
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217602121.74
96 rdf:type schema:Person
97 sg:person.01265715321.43 schema:affiliation https://www.grid.ac/institutes/grid.214007.0
98 schema:familyName Loguercio
99 schema:givenName Salvatore
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265715321.43
101 rdf:type schema:Person
102 sg:person.0734501725.37 schema:affiliation https://www.grid.ac/institutes/grid.214007.0
103 schema:familyName Su
104 schema:givenName Andrew I
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734501725.37
106 rdf:type schema:Person
107 sg:pub.10.1007/978-3-642-02879-3_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010220917
108 https://doi.org/10.1007/978-3-642-02879-3_7
109 rdf:type schema:CreativeWork
110 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
111 https://doi.org/10.1038/75556
112 rdf:type schema:CreativeWork
113 sg:pub.10.1038/nature09557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019374287
114 https://doi.org/10.1038/nature09557
115 rdf:type schema:CreativeWork
116 sg:pub.10.1186/1471-2105-8-170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018777295
117 https://doi.org/10.1186/1471-2105-8-170
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.ccr.2006.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009775480
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1073/pnas.0506580102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037705714
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1093/bioinformatics/16.11.953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045857704
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1093/bioinformatics/bti565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050298763
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1093/bioinformatics/bts498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046203552
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1093/nar/30.1.207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005297170
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1093/nar/gkm1167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003062683
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1093/nar/gkn923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047610281
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1093/nar/gkr1048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035251836
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1371/journal.pcbi.1000605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034813941
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1371/journal.pcbi.1002533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028515073
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1371/journal.pone.0027541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022010865
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.214007.0 schema:alternateName Scripps Research Institute
144 schema:name The Scripps Research Institute, La Jolla, CA, USA
145 rdf:type schema:Organization
 




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


...