InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-05-22

AUTHORS

Henry Heberle, Gabriela Vaz Meirelles, Felipe R da Silva, Guilherme P Telles, Rosane Minghim

ABSTRACT

BackgroundSet comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited.ResultsWe have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains.ConclusionsInteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net. More... »

PAGES

169

Journal

TITLE

BMC Bioinformatics

ISSUE

1

VOLUME

16

Related Patents

  • Pirin Polypeptide And Immune Modulation
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Method And Kit For Dna Library Preparation
  • Composition Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Bacterium For Use As A Probiotic For Nutritional And Medical Applications
  • Compositions Comprising Bacterial Strains
  • Polypeptide And Immune Modulation
  • Compositions Comprising Bacterial Strains
  • Analytical Methods And Arrays For Use In The Same
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Pirin Polypeptide And Immune Modulation
  • New Protein Markers Of Renal Damage
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Polypeptide And Immune Modulation
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising Bacterial Strains
  • Analytical Methods And Arrays For Use In The Same
  • Compositions Comprising Bacterial Strains
  • Compositions Comprising A Bacterial Strain Of The Genus Megasphera And Uses Thereof
  • Lactic Acid Bacterial Strains
  • Compositions Comprising Bacterial Strain
  • Compositions Comprising Bacterial Strains
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12859-015-0611-3

    DOI

    http://dx.doi.org/10.1186/s12859-015-0611-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1027160185

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25994840


    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/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biomarkers, Tumor", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computer Graphics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Data Interpretation, Statistical", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Internet", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Musa", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plant Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prostatic Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Proteomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Software", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tumor Cells, Cultured", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Universidade de S\u00e3o Paulo, Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Av. Trabalhador S\u00e3o-carlense, 400, S\u00e3o Carlos SP, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.11899.38", 
              "name": [
                "Universidade de S\u00e3o Paulo, Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Av. Trabalhador S\u00e3o-carlense, 400, S\u00e3o Carlos SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Heberle", 
            "givenName": "Henry", 
            "id": "sg:person.01155727351.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155727351.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laborat\u00f3rio Nacional de Bioci\u00eancias, Caixa Postal 6192, Campinas SP, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.509794.6", 
              "name": [
                "Laborat\u00f3rio Nacional de Bioci\u00eancias, Caixa Postal 6192, Campinas SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Meirelles", 
            "givenName": "Gabriela Vaz", 
            "id": "sg:person.01130261536.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130261536.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Embrapa Inform\u00e1tica Agropecu\u00e1ria, Av. Andr\u00e9 Tosello, 209, Campinas SP, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.460200.0", 
              "name": [
                "Embrapa Inform\u00e1tica Agropecu\u00e1ria, Av. Andr\u00e9 Tosello, 209, Campinas SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "da Silva", 
            "givenName": "Felipe R", 
            "id": "sg:person.0737730423.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737730423.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Estadual de Campinas, Instituto de Computa\u00e7\u00e3o, Av. Albert Einstein, 1251, Campinas SP, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.411087.b", 
              "name": [
                "Universidade Estadual de Campinas, Instituto de Computa\u00e7\u00e3o, Av. Albert Einstein, 1251, Campinas SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Telles", 
            "givenName": "Guilherme P", 
            "id": "sg:person.011767417746.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011767417746.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade de S\u00e3o Paulo, Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Av. Trabalhador S\u00e3o-carlense, 400, S\u00e3o Carlos SP, Brazil", 
              "id": "http://www.grid.ac/institutes/grid.11899.38", 
              "name": [
                "Universidade de S\u00e3o Paulo, Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Av. Trabalhador S\u00e3o-carlense, 400, S\u00e3o Carlos SP, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Minghim", 
            "givenName": "Rosane", 
            "id": "sg:person.015503127576.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015503127576.43"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1471-2105-15-293", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028780416", 
              "https://doi.org/10.1186/1471-2105-15-293"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-488", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050594553", 
              "https://doi.org/10.1186/1471-2164-9-488"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11241", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000546815", 
              "https://doi.org/10.1038/nature11241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-15-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030123122", 
              "https://doi.org/10.1186/1471-2105-15-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1012487302797", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048573168", 
              "https://doi.org/10.1023/a:1012487302797"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-05-22", 
        "datePublishedReg": "2015-05-22", 
        "description": "BackgroundSet comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited.ResultsWe have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets\u2019 elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains.ConclusionsInteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12859-015-0611-3", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1023786", 
            "issn": [
              "1471-2105"
            ], 
            "name": "BMC Bioinformatics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "16"
          }
        ], 
        "keywords": [
          "set union", 
          "data analysis workflows", 
          "web-based tool", 
          "particular workflow", 
          "image format", 
          "combination of sets", 
          "analysis workflow", 
          "biological datasets", 
          "current tools", 
          "flexible tool", 
          "workflow", 
          "Venn diagram", 
          "analysis of sets", 
          "set", 
          "tool", 
          "large number", 
          "diagram construction", 
          "dataset", 
          "such analyses", 
          "format", 
          "clean interface", 
          "www", 
          "interface", 
          "diagram", 
          "trees", 
          "domain", 
          "savings", 
          "biological sciences", 
          "vector", 
          "list", 
          "similarity", 
          "subset", 
          "science", 
          "construction", 
          "broad range", 
          "analysis", 
          "Further analysis", 
          "number", 
          "novel interaction", 
          "ability", 
          "elements", 
          "combination", 
          "shape", 
          "comparison", 
          "Union", 
          "interaction", 
          "range", 
          "additional observations", 
          "observations", 
          "consequences", 
          "ResultsWe", 
          "differences", 
          "loading set"
        ], 
        "name": "InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams", 
        "pagination": "169", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1027160185"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12859-015-0611-3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25994840"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12859-015-0611-3", 
          "https://app.dimensions.ai/details/publication/pub.1027160185"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:33", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_677.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12859-015-0611-3"
      }
    ]
     

    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/s12859-015-0611-3'

    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/s12859-015-0611-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12859-015-0611-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12859-015-0611-3'


     

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

    226 TRIPLES      21 PREDICATES      97 URIs      84 LITERALS      21 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12859-015-0611-3 schema:about N0d3cc2cce70b4c06992a05cee5801811
    2 N0fb0b08997bc45059e7b095fb31403d6
    3 N2323b9651d1e4ab785f98095be193466
    4 N40f4b4c88be54ddc8e2ac6bcad92f7be
    5 N4559610ed326474aacfe86248a7b90b1
    6 N5626d7d6afd54cd190d04a1952e6a765
    7 N74967f3fcdff4598bd2bee2b281e1c7e
    8 N74cdba7bc60b422e93e11d8aa0f3d754
    9 Nb157a5b19a4d43daacd3631ecd3e851e
    10 Nb26c7004ebf74068988722955b037c49
    11 Nbbd0e64b67074af8b568c88e6ed59b90
    12 Nd4846e17a6da4c12a874ccf239166eae
    13 Ndc149188f5334337b835a1bd1b4003cd
    14 Nf58866443601457a8c1eafab91246745
    15 anzsrc-for:08
    16 anzsrc-for:0806
    17 schema:author N9ced127103f94b6fa76e1d2b45319923
    18 schema:citation sg:pub.10.1023/a:1012487302797
    19 sg:pub.10.1038/nature11241
    20 sg:pub.10.1186/1471-2105-15-1
    21 sg:pub.10.1186/1471-2105-15-293
    22 sg:pub.10.1186/1471-2164-9-488
    23 schema:datePublished 2015-05-22
    24 schema:datePublishedReg 2015-05-22
    25 schema:description BackgroundSet comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited.ResultsWe have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains.ConclusionsInteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.
    26 schema:genre article
    27 schema:isAccessibleForFree true
    28 schema:isPartOf N105f541d0ef54093aa16fddc7cf4d1f9
    29 Nd094cd2f44a94dc59321383efd024b48
    30 sg:journal.1023786
    31 schema:keywords Further analysis
    32 ResultsWe
    33 Union
    34 Venn diagram
    35 ability
    36 additional observations
    37 analysis
    38 analysis of sets
    39 analysis workflow
    40 biological datasets
    41 biological sciences
    42 broad range
    43 clean interface
    44 combination
    45 combination of sets
    46 comparison
    47 consequences
    48 construction
    49 current tools
    50 data analysis workflows
    51 dataset
    52 diagram
    53 diagram construction
    54 differences
    55 domain
    56 elements
    57 flexible tool
    58 format
    59 image format
    60 interaction
    61 interface
    62 large number
    63 list
    64 loading set
    65 novel interaction
    66 number
    67 observations
    68 particular workflow
    69 range
    70 savings
    71 science
    72 set
    73 set union
    74 shape
    75 similarity
    76 subset
    77 such analyses
    78 tool
    79 trees
    80 vector
    81 web-based tool
    82 workflow
    83 www
    84 schema:name InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams
    85 schema:pagination 169
    86 schema:productId N0ecf74e87f6e4517ac7936618e5b6602
    87 N4b841ddc74164b8f865fd01968e57710
    88 N6e9fbd4d00964441bc3fbbef5b6ae24f
    89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027160185
    90 https://doi.org/10.1186/s12859-015-0611-3
    91 schema:sdDatePublished 2022-12-01T06:33
    92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    93 schema:sdPublisher N67e3667738b94419837b56026ad1bb7a
    94 schema:url https://doi.org/10.1186/s12859-015-0611-3
    95 sgo:license sg:explorer/license/
    96 sgo:sdDataset articles
    97 rdf:type schema:ScholarlyArticle
    98 N0d3cc2cce70b4c06992a05cee5801811 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Genome, Plant
    100 rdf:type schema:DefinedTerm
    101 N0ecf74e87f6e4517ac7936618e5b6602 schema:name pubmed_id
    102 schema:value 25994840
    103 rdf:type schema:PropertyValue
    104 N0fb0b08997bc45059e7b095fb31403d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name Prostatic Neoplasms
    106 rdf:type schema:DefinedTerm
    107 N105f541d0ef54093aa16fddc7cf4d1f9 schema:volumeNumber 16
    108 rdf:type schema:PublicationVolume
    109 N2323b9651d1e4ab785f98095be193466 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Musa
    111 rdf:type schema:DefinedTerm
    112 N3a9e06ee4e2f4294aae909910f5c3d81 rdf:first sg:person.01130261536.57
    113 rdf:rest N741fbae8a0264fbb9c8551527d0036dd
    114 N40f4b4c88be54ddc8e2ac6bcad92f7be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    115 schema:name Software
    116 rdf:type schema:DefinedTerm
    117 N4559610ed326474aacfe86248a7b90b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Humans
    119 rdf:type schema:DefinedTerm
    120 N4b841ddc74164b8f865fd01968e57710 schema:name doi
    121 schema:value 10.1186/s12859-015-0611-3
    122 rdf:type schema:PropertyValue
    123 N5626d7d6afd54cd190d04a1952e6a765 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Internet
    125 rdf:type schema:DefinedTerm
    126 N67e3667738b94419837b56026ad1bb7a schema:name Springer Nature - SN SciGraph project
    127 rdf:type schema:Organization
    128 N6e9fbd4d00964441bc3fbbef5b6ae24f schema:name dimensions_id
    129 schema:value pub.1027160185
    130 rdf:type schema:PropertyValue
    131 N741fbae8a0264fbb9c8551527d0036dd rdf:first sg:person.0737730423.84
    132 rdf:rest Nf225073b8c814842a4d35692b6549e48
    133 N74967f3fcdff4598bd2bee2b281e1c7e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Computer Graphics
    135 rdf:type schema:DefinedTerm
    136 N74cdba7bc60b422e93e11d8aa0f3d754 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Male
    138 rdf:type schema:DefinedTerm
    139 N9ced127103f94b6fa76e1d2b45319923 rdf:first sg:person.01155727351.44
    140 rdf:rest N3a9e06ee4e2f4294aae909910f5c3d81
    141 Nb157a5b19a4d43daacd3631ecd3e851e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Tumor Cells, Cultured
    143 rdf:type schema:DefinedTerm
    144 Nb26c7004ebf74068988722955b037c49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Data Interpretation, Statistical
    146 rdf:type schema:DefinedTerm
    147 Nb93c99f3c8b343948aafc99a37134a6d rdf:first sg:person.015503127576.43
    148 rdf:rest rdf:nil
    149 Nbbd0e64b67074af8b568c88e6ed59b90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Plant Proteins
    151 rdf:type schema:DefinedTerm
    152 Nd094cd2f44a94dc59321383efd024b48 schema:issueNumber 1
    153 rdf:type schema:PublicationIssue
    154 Nd4846e17a6da4c12a874ccf239166eae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Computational Biology
    156 rdf:type schema:DefinedTerm
    157 Ndc149188f5334337b835a1bd1b4003cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name Proteomics
    159 rdf:type schema:DefinedTerm
    160 Nf225073b8c814842a4d35692b6549e48 rdf:first sg:person.011767417746.32
    161 rdf:rest Nb93c99f3c8b343948aafc99a37134a6d
    162 Nf58866443601457a8c1eafab91246745 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Biomarkers, Tumor
    164 rdf:type schema:DefinedTerm
    165 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    166 schema:name Information and Computing Sciences
    167 rdf:type schema:DefinedTerm
    168 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    169 schema:name Information Systems
    170 rdf:type schema:DefinedTerm
    171 sg:journal.1023786 schema:issn 1471-2105
    172 schema:name BMC Bioinformatics
    173 schema:publisher Springer Nature
    174 rdf:type schema:Periodical
    175 sg:person.01130261536.57 schema:affiliation grid-institutes:grid.509794.6
    176 schema:familyName Meirelles
    177 schema:givenName Gabriela Vaz
    178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130261536.57
    179 rdf:type schema:Person
    180 sg:person.01155727351.44 schema:affiliation grid-institutes:grid.11899.38
    181 schema:familyName Heberle
    182 schema:givenName Henry
    183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155727351.44
    184 rdf:type schema:Person
    185 sg:person.011767417746.32 schema:affiliation grid-institutes:grid.411087.b
    186 schema:familyName Telles
    187 schema:givenName Guilherme P
    188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011767417746.32
    189 rdf:type schema:Person
    190 sg:person.015503127576.43 schema:affiliation grid-institutes:grid.11899.38
    191 schema:familyName Minghim
    192 schema:givenName Rosane
    193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015503127576.43
    194 rdf:type schema:Person
    195 sg:person.0737730423.84 schema:affiliation grid-institutes:grid.460200.0
    196 schema:familyName da Silva
    197 schema:givenName Felipe R
    198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737730423.84
    199 rdf:type schema:Person
    200 sg:pub.10.1023/a:1012487302797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048573168
    201 https://doi.org/10.1023/a:1012487302797
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1038/nature11241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000546815
    204 https://doi.org/10.1038/nature11241
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1186/1471-2105-15-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030123122
    207 https://doi.org/10.1186/1471-2105-15-1
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1186/1471-2105-15-293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028780416
    210 https://doi.org/10.1186/1471-2105-15-293
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1186/1471-2164-9-488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050594553
    213 https://doi.org/10.1186/1471-2164-9-488
    214 rdf:type schema:CreativeWork
    215 grid-institutes:grid.11899.38 schema:alternateName Universidade de São Paulo, Instituto de Ciências Matemáticas e de Computação, Av. Trabalhador São-carlense, 400, São Carlos SP, Brazil
    216 schema:name Universidade de São Paulo, Instituto de Ciências Matemáticas e de Computação, Av. Trabalhador São-carlense, 400, São Carlos SP, Brazil
    217 rdf:type schema:Organization
    218 grid-institutes:grid.411087.b schema:alternateName Universidade Estadual de Campinas, Instituto de Computação, Av. Albert Einstein, 1251, Campinas SP, Brazil
    219 schema:name Universidade Estadual de Campinas, Instituto de Computação, Av. Albert Einstein, 1251, Campinas SP, Brazil
    220 rdf:type schema:Organization
    221 grid-institutes:grid.460200.0 schema:alternateName Embrapa Informática Agropecuária, Av. André Tosello, 209, Campinas SP, Brazil
    222 schema:name Embrapa Informática Agropecuária, Av. André Tosello, 209, Campinas SP, Brazil
    223 rdf:type schema:Organization
    224 grid-institutes:grid.509794.6 schema:alternateName Laboratório Nacional de Biociências, Caixa Postal 6192, Campinas SP, Brazil
    225 schema:name Laboratório Nacional de Biociências, Caixa Postal 6192, Campinas SP, Brazil
    226 rdf:type schema:Organization
     




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


    ...