HyQue: evaluating hypotheses using Semantic Web technologies View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

Alison Callahan, Michel Dumontier, Nigam H Shah

ABSTRACT

BACKGROUND: Key to the success of e-Science is the ability to computationally evaluate expert-composed hypotheses for validity against experimental data. Researchers face the challenge of collecting, evaluating and integrating large amounts of diverse information to compose and evaluate a hypothesis. Confronted with rapidly accumulating data, researchers currently do not have the software tools to undertake the required information integration tasks. RESULTS: We present HyQue, a Semantic Web tool for querying scientific knowledge bases with the purpose of evaluating user submitted hypotheses. HyQue features a knowledge model to accommodate diverse hypotheses structured as events and represented using Semantic Web languages (RDF/OWL). Hypothesis validity is evaluated against experimental and literature-sourced evidence through a combination of SPARQL queries and evaluation rules. Inference over OWL ontologies (for type specifications, subclass assertions and parthood relations) and retrieval of facts stored as Bio2RDF linked data provide support for a given hypothesis. We evaluate hypotheses of varying levels of detail about the genetic network controlling galactose metabolism in Saccharomyces cerevisiae to demonstrate the feasibility of deploying such semantic computing tools over a growing body of structured knowledge in Bio2RDF. CONCLUSIONS: HyQue is a query-based hypothesis evaluation system that can currently evaluate hypotheses about the galactose metabolism in S. cerevisiae. Hypotheses as well as the supporting or refuting data are represented in RDF and directly linked to one another allowing scientists to browse from data to hypothesis and vice versa. HyQue hypotheses and data are available at http://semanticscience.org/projects/hyque. More... »

PAGES

s3

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/2041-1480-2-s2-s3

DOI

http://dx.doi.org/10.1186/2041-1480-2-s2-s3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013483045

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21624158


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/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Carleton University", 
          "id": "https://www.grid.ac/institutes/grid.34428.39", 
          "name": [
            "Department of Biology, Carleton University, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Callahan", 
        "givenName": "Alison", 
        "id": "sg:person.01200144035.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200144035.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Carleton University", 
          "id": "https://www.grid.ac/institutes/grid.34428.39", 
          "name": [
            "Department of Biology, Carleton University, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dumontier", 
        "givenName": "Michel", 
        "id": "sg:person.01324655201.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324655201.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stanford University", 
          "id": "https://www.grid.ac/institutes/grid.168010.e", 
          "name": [
            "Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shah", 
        "givenName": "Nigam H", 
        "id": "sg:person.016713300752.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016713300752.98"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.292.5518.929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004753512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbn056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004892751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti1134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006231335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00993062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008897089", 
          "https://doi.org/10.1007/bf00993062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011102218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2041-1480-2-s2-s9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013981920", 
          "https://doi.org/10.1186/2041-1480-2-s2-s9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2008.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015809655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jal.2008.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020848241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.drudis.2008.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025165517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1165620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027153137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2008.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030920077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2003.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031591332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0933-3657(03)00048-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031641961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0933-3657(03)00048-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031641961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbp024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032575865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbp024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032575865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0020309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037860048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-92673-3_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041348652", 
          "https://doi.org/10.1007/978-3-540-92673-3_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-92673-3_20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041348652", 
          "https://doi.org/10.1007/978-3-540-92673-3_20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-8-50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050932195", 
          "https://doi.org/10.1186/1471-2105-8-50"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052669813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/7.3.301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059414056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/5254.796092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061186305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.171.6.3539-3544.1989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062718013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077599375", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082984655", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083156225", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3233/isu-2010-0613", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091551869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/csb.2003.1227430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093436452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/csb.2004.1332518", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093842104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icsmc.2009.5346325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095259055"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-12", 
    "datePublishedReg": "2011-12-01", 
    "description": "BACKGROUND: Key to the success of e-Science is the ability to computationally evaluate expert-composed hypotheses for validity against experimental data. Researchers face the challenge of collecting, evaluating and integrating large amounts of diverse information to compose and evaluate a hypothesis. Confronted with rapidly accumulating data, researchers currently do not have the software tools to undertake the required information integration tasks.\nRESULTS: We present HyQue, a Semantic Web tool for querying scientific knowledge bases with the purpose of evaluating user submitted hypotheses. HyQue features a knowledge model to accommodate diverse hypotheses structured as events and represented using Semantic Web languages (RDF/OWL). Hypothesis validity is evaluated against experimental and literature-sourced evidence through a combination of SPARQL queries and evaluation rules. Inference over OWL ontologies (for type specifications, subclass assertions and parthood relations) and retrieval of facts stored as Bio2RDF linked data provide support for a given hypothesis. We evaluate hypotheses of varying levels of detail about the genetic network controlling galactose metabolism in Saccharomyces cerevisiae to demonstrate the feasibility of deploying such semantic computing tools over a growing body of structured knowledge in Bio2RDF.\nCONCLUSIONS: HyQue is a query-based hypothesis evaluation system that can currently evaluate hypotheses about the galactose metabolism in S. cerevisiae. Hypotheses as well as the supporting or refuting data are represented in RDF and directly linked to one another allowing scientists to browse from data to hypothesis and vice versa. HyQue hypotheses and data are available at http://semanticscience.org/projects/hyque.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/2041-1480-2-s2-s3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2699337", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3096684", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043573", 
        "issn": [
          "2041-1480"
        ], 
        "name": "Journal of Biomedical Semantics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "name": "HyQue: evaluating hypotheses using Semantic Web technologies", 
    "pagination": "s3", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "403b131842aeaf1da9fdd72372d411ddaee9a0cfe416210131efd2137490d63b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21624158"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101531992"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/2041-1480-2-s2-s3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1013483045"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/2041-1480-2-s2-s3", 
      "https://app.dimensions.ai/details/publication/pub.1013483045"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:06", 
    "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_8663_00000536.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F2041-1480-2-S2-S3"
  }
]
 

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.10.1186/2041-1480-2-s2-s3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/2041-1480-2-s2-s3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/2041-1480-2-s2-s3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/2041-1480-2-s2-s3'


 

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

174 TRIPLES      21 PREDICATES      57 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/2041-1480-2-s2-s3 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N97bb315836334e37843f457698049024
4 schema:citation sg:pub.10.1007/978-3-540-92673-3_20
5 sg:pub.10.1007/bf00993062
6 sg:pub.10.1186/1471-2105-8-50
7 sg:pub.10.1186/2041-1480-2-s2-s9
8 https://app.dimensions.ai/details/publication/pub.1077599375
9 https://app.dimensions.ai/details/publication/pub.1082984655
10 https://app.dimensions.ai/details/publication/pub.1083156225
11 https://doi.org/10.1016/j.drudis.2008.01.008
12 https://doi.org/10.1016/j.jal.2008.10.001
13 https://doi.org/10.1016/j.jbi.2003.10.001
14 https://doi.org/10.1016/j.jbi.2008.03.004
15 https://doi.org/10.1016/j.jbi.2008.05.001
16 https://doi.org/10.1016/s0933-3657(03)00048-4
17 https://doi.org/10.1093/bib/bbn056
18 https://doi.org/10.1093/bib/bbp024
19 https://doi.org/10.1093/bioinformatics/7.3.301
20 https://doi.org/10.1093/bioinformatics/bth905
21 https://doi.org/10.1093/bioinformatics/bti1134
22 https://doi.org/10.1093/bioinformatics/btq382
23 https://doi.org/10.1109/5254.796092
24 https://doi.org/10.1109/csb.2003.1227430
25 https://doi.org/10.1109/csb.2004.1332518
26 https://doi.org/10.1109/icsmc.2009.5346325
27 https://doi.org/10.1126/science.1165620
28 https://doi.org/10.1126/science.292.5518.929
29 https://doi.org/10.1128/jb.171.6.3539-3544.1989
30 https://doi.org/10.1371/journal.pbio.0020309
31 https://doi.org/10.3233/isu-2010-0613
32 schema:datePublished 2011-12
33 schema:datePublishedReg 2011-12-01
34 schema:description BACKGROUND: Key to the success of e-Science is the ability to computationally evaluate expert-composed hypotheses for validity against experimental data. Researchers face the challenge of collecting, evaluating and integrating large amounts of diverse information to compose and evaluate a hypothesis. Confronted with rapidly accumulating data, researchers currently do not have the software tools to undertake the required information integration tasks. RESULTS: We present HyQue, a Semantic Web tool for querying scientific knowledge bases with the purpose of evaluating user submitted hypotheses. HyQue features a knowledge model to accommodate diverse hypotheses structured as events and represented using Semantic Web languages (RDF/OWL). Hypothesis validity is evaluated against experimental and literature-sourced evidence through a combination of SPARQL queries and evaluation rules. Inference over OWL ontologies (for type specifications, subclass assertions and parthood relations) and retrieval of facts stored as Bio2RDF linked data provide support for a given hypothesis. We evaluate hypotheses of varying levels of detail about the genetic network controlling galactose metabolism in Saccharomyces cerevisiae to demonstrate the feasibility of deploying such semantic computing tools over a growing body of structured knowledge in Bio2RDF. CONCLUSIONS: HyQue is a query-based hypothesis evaluation system that can currently evaluate hypotheses about the galactose metabolism in S. cerevisiae. Hypotheses as well as the supporting or refuting data are represented in RDF and directly linked to one another allowing scientists to browse from data to hypothesis and vice versa. HyQue hypotheses and data are available at http://semanticscience.org/projects/hyque.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N6363b04ae536471b94602c2b43ae5924
39 N6e9353faebec4d74ad0cd2a653ab6841
40 sg:journal.1043573
41 schema:name HyQue: evaluating hypotheses using Semantic Web technologies
42 schema:pagination s3
43 schema:productId N3b3a01a90a4d4db7879546d4e11ebafb
44 N66cf8f73776a4762988a03302e27244b
45 N94ba88347ad84e6f87fb9c67a2d14a54
46 N9f435439e5f94ec4972264235552cfcb
47 Ncb729340f5364c17b7e17c2cb9eba515
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013483045
49 https://doi.org/10.1186/2041-1480-2-s2-s3
50 schema:sdDatePublished 2019-04-10T15:06
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N7681e39aa3a74e09bf1afec0b3a0ee2e
53 schema:url http://link.springer.com/10.1186%2F2041-1480-2-S2-S3
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N3b3a01a90a4d4db7879546d4e11ebafb schema:name dimensions_id
58 schema:value pub.1013483045
59 rdf:type schema:PropertyValue
60 N6363b04ae536471b94602c2b43ae5924 schema:volumeNumber 2
61 rdf:type schema:PublicationVolume
62 N66cf8f73776a4762988a03302e27244b schema:name doi
63 schema:value 10.1186/2041-1480-2-s2-s3
64 rdf:type schema:PropertyValue
65 N6e9353faebec4d74ad0cd2a653ab6841 schema:issueNumber Suppl 2
66 rdf:type schema:PublicationIssue
67 N7681e39aa3a74e09bf1afec0b3a0ee2e schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N94ba88347ad84e6f87fb9c67a2d14a54 schema:name pubmed_id
70 schema:value 21624158
71 rdf:type schema:PropertyValue
72 N97bb315836334e37843f457698049024 rdf:first sg:person.01200144035.80
73 rdf:rest Nfe3b73129b7e4c59b0c1d057082ec1a3
74 N9f435439e5f94ec4972264235552cfcb schema:name nlm_unique_id
75 schema:value 101531992
76 rdf:type schema:PropertyValue
77 Nc98780b147d04fe8a71c00f582c9ded1 rdf:first sg:person.016713300752.98
78 rdf:rest rdf:nil
79 Ncb729340f5364c17b7e17c2cb9eba515 schema:name readcube_id
80 schema:value 403b131842aeaf1da9fdd72372d411ddaee9a0cfe416210131efd2137490d63b
81 rdf:type schema:PropertyValue
82 Nfe3b73129b7e4c59b0c1d057082ec1a3 rdf:first sg:person.01324655201.14
83 rdf:rest Nc98780b147d04fe8a71c00f582c9ded1
84 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
85 schema:name Information and Computing Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
88 schema:name Information Systems
89 rdf:type schema:DefinedTerm
90 sg:grant.2699337 http://pending.schema.org/fundedItem sg:pub.10.1186/2041-1480-2-s2-s3
91 rdf:type schema:MonetaryGrant
92 sg:grant.3096684 http://pending.schema.org/fundedItem sg:pub.10.1186/2041-1480-2-s2-s3
93 rdf:type schema:MonetaryGrant
94 sg:journal.1043573 schema:issn 2041-1480
95 schema:name Journal of Biomedical Semantics
96 rdf:type schema:Periodical
97 sg:person.01200144035.80 schema:affiliation https://www.grid.ac/institutes/grid.34428.39
98 schema:familyName Callahan
99 schema:givenName Alison
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200144035.80
101 rdf:type schema:Person
102 sg:person.01324655201.14 schema:affiliation https://www.grid.ac/institutes/grid.34428.39
103 schema:familyName Dumontier
104 schema:givenName Michel
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324655201.14
106 rdf:type schema:Person
107 sg:person.016713300752.98 schema:affiliation https://www.grid.ac/institutes/grid.168010.e
108 schema:familyName Shah
109 schema:givenName Nigam H
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016713300752.98
111 rdf:type schema:Person
112 sg:pub.10.1007/978-3-540-92673-3_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041348652
113 https://doi.org/10.1007/978-3-540-92673-3_20
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/bf00993062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008897089
116 https://doi.org/10.1007/bf00993062
117 rdf:type schema:CreativeWork
118 sg:pub.10.1186/1471-2105-8-50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050932195
119 https://doi.org/10.1186/1471-2105-8-50
120 rdf:type schema:CreativeWork
121 sg:pub.10.1186/2041-1480-2-s2-s9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013981920
122 https://doi.org/10.1186/2041-1480-2-s2-s9
123 rdf:type schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1077599375 schema:CreativeWork
125 https://app.dimensions.ai/details/publication/pub.1082984655 schema:CreativeWork
126 https://app.dimensions.ai/details/publication/pub.1083156225 schema:CreativeWork
127 https://doi.org/10.1016/j.drudis.2008.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025165517
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.jal.2008.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020848241
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.jbi.2003.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031591332
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.jbi.2008.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030920077
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.jbi.2008.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015809655
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/s0933-3657(03)00048-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031641961
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1093/bib/bbn056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004892751
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1093/bib/bbp024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032575865
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1093/bioinformatics/7.3.301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059414056
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1093/bioinformatics/bth905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052669813
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1093/bioinformatics/bti1134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006231335
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1093/bioinformatics/btq382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011102218
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1109/5254.796092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061186305
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/csb.2003.1227430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093436452
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/csb.2004.1332518 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093842104
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1109/icsmc.2009.5346325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095259055
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1126/science.1165620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027153137
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1126/science.292.5518.929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004753512
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1128/jb.171.6.3539-3544.1989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062718013
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1371/journal.pbio.0020309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037860048
166 rdf:type schema:CreativeWork
167 https://doi.org/10.3233/isu-2010-0613 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091551869
168 rdf:type schema:CreativeWork
169 https://www.grid.ac/institutes/grid.168010.e schema:alternateName Stanford University
170 schema:name Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
171 rdf:type schema:Organization
172 https://www.grid.ac/institutes/grid.34428.39 schema:alternateName Carleton University
173 schema:name Department of Biology, Carleton University, Ottawa, Ontario, Canada
174 rdf:type schema:Organization
 




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


...