A variant reference data set for the Africanized honeybee, Apis mellifera View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-11-08

AUTHORS

Samir M Kadri, Brock A Harpur, Ricardo O Orsi, Amro Zayed

ABSTRACT

The Africanized honeybee (AHB) is a population of Apis mellifera found in the Americas. AHBs originated in 1956 in Rio Clara, Brazil where imported African A. m. scutellata escaped and hybridized with local populations of European A. mellifera. Africanized populations can now be found from Northern Argentina to the Southern United States. AHBs-often referred to as 'Killer Bees'- are a major concern to the beekeeping industry as well as a model for the evolutionary genetics of colony defence. We performed high coverage pooled-resequencing of 360 diploid workers from 30 Brazilian AHB colonies using Illumina Hi-Seq (150 bp PE). This yielded a high density SNP data set with an average read depth at each site of 20.25 reads. With 3,606,720 SNPs and 155,336 SNPs within 11,365 genes, this data set is the largest genomic resource available for AHBs and will enable high-resolution studies of the population dynamics, evolution, and genetics of this successful biological invader, in addition to facilitating the development of SNP-based tools for identifying AHBs. More... »

PAGES

160097

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sdata.2016.97

DOI

http://dx.doi.org/10.1038/sdata.2016.97

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1004589108

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27824336


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bees", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biological Evolution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brazil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Insect", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Dynamics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sao Paulo State University", 
          "id": "https://www.grid.ac/institutes/grid.410543.7", 
          "name": [
            "Departamento de Produ\u00e7\u00e3o Animal, Faculdade de Medicina Veterin\u00e1ria e Zootecnia, Univ Estadual Paulista, UNESP, Botucatu, S\u00e3o Paulo 18618681, Brasil."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kadri", 
        "givenName": "Samir M", 
        "id": "sg:person.0642521216.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642521216.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "York University", 
          "id": "https://www.grid.ac/institutes/grid.21100.32", 
          "name": [
            "Department of Biology, Faculty of Sciences, York University, Toronto, Ontario M3J1P3, Canada."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harpur", 
        "givenName": "Brock A", 
        "id": "sg:person.01266527716.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266527716.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sao Paulo State University", 
          "id": "https://www.grid.ac/institutes/grid.410543.7", 
          "name": [
            "Departamento de Produ\u00e7\u00e3o Animal, Faculdade de Medicina Veterin\u00e1ria e Zootecnia, Univ Estadual Paulista, UNESP, Botucatu, S\u00e3o Paulo 18618681, Brasil."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Orsi", 
        "givenName": "Ricardo O", 
        "id": "sg:person.0632145042.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632145042.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "York University", 
          "id": "https://www.grid.ac/institutes/grid.21100.32", 
          "name": [
            "Department of Biology, Faculty of Sciences, York University, Toronto, Ontario M3J1P3, Canada."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zayed", 
        "givenName": "Amro", 
        "id": "sg:person.01041134662.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041134662.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/gkq1145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005569796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2012.05614.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007163000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008270984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0118734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008677311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010244476", 
          "https://doi.org/10.1038/ng.806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp698", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012031985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1315506111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012831754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/mpev.1996.0050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014272293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-72649-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015275847", 
          "https://doi.org/10.1007/978-3-642-72649-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-72649-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015275847", 
          "https://doi.org/10.1007/978-3-642-72649-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btr589", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015662900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/0005772x.1964.11097060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020235545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023014918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023362722", 
          "https://doi.org/10.1038/ng.3077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1755-0998.12411", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023534699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0800107105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028685190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033687011", 
          "https://doi.org/10.1038/nature05260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033687011", 
          "https://doi.org/10.1038/nature05260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033687011", 
          "https://doi.org/10.1038/nature05260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.1992.tb00170.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035564424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4324/9780203819937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041343873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042478270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/mec.12522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046981517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0124365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050350072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0124365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050350072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00040-015-0427-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051043257", 
          "https://doi.org/10.1007/s00040-015-0427-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.111120.110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051094083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/gbb.12201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053271676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1132772", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062454736"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-11-08", 
    "datePublishedReg": "2016-11-08", 
    "description": "The Africanized honeybee (AHB) is a population of Apis mellifera found in the Americas. AHBs originated in 1956 in Rio Clara, Brazil where imported African A. m. scutellata escaped and hybridized with local populations of European A. mellifera. Africanized populations can now be found from Northern Argentina to the Southern United States. AHBs-often referred to as 'Killer Bees'- are a major concern to the beekeeping industry as well as a model for the evolutionary genetics of colony defence. We performed high coverage pooled-resequencing of 360 diploid workers from 30 Brazilian AHB colonies using Illumina Hi-Seq (150\u2009bp PE). This yielded a high density SNP data set with an average read depth at each site of 20.25 reads. With 3,606,720 SNPs and 155,336 SNPs within 11,365 genes, this data set is the largest genomic resource available for AHBs and will enable high-resolution studies of the population dynamics, evolution, and genetics of this successful biological invader, in addition to facilitating the development of SNP-based tools for identifying AHBs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sdata.2016.97", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4477085", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1050678", 
        "issn": [
          "2052-4463"
        ], 
        "name": "Scientific Data", 
        "type": "Periodical"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "A variant reference data set for the Africanized honeybee, Apis mellifera", 
    "pagination": "160097", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "15de305cb63c5c0fc98521fd0dba6c82821b0016cc8400cf6a6fa4885e83695d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27824336"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101640192"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sdata.2016.97"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1004589108"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sdata.2016.97", 
      "https://app.dimensions.ai/details/publication/pub.1004589108"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:03", 
    "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_8681_00000549.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/sdata201697"
  }
]
 

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/sdata.2016.97'

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/sdata.2016.97'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sdata.2016.97'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sdata.2016.97'


 

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

199 TRIPLES      21 PREDICATES      59 URIs      26 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sdata.2016.97 schema:about N14370ac6c59b426f8979b800edb936bd
2 N1ff4b43faa474a109179a2cbc0ab54f2
3 N317094851647487d92a5ab5a9404cd13
4 N853eb30ff61b47baac19d3b9fee08511
5 Nacfbaf87c4994727a296c2f931a16d17
6 Ne14b1dfa9f9147a7b484b6756b078082
7 Nef5e4bd12e03488ab0ca1cfb41200c27
8 anzsrc-for:06
9 anzsrc-for:0604
10 schema:author N6eb48764e2ca4ba6bef2101ec849d9a0
11 schema:citation sg:pub.10.1007/978-3-642-72649-1
12 sg:pub.10.1007/s00040-015-0427-1
13 sg:pub.10.1038/nature05260
14 sg:pub.10.1038/ng.3077
15 sg:pub.10.1038/ng.806
16 https://doi.org/10.1006/mpev.1996.0050
17 https://doi.org/10.1073/pnas.0800107105
18 https://doi.org/10.1073/pnas.1315506111
19 https://doi.org/10.1080/0005772x.1964.11097060
20 https://doi.org/10.1093/bioinformatics/btp352
21 https://doi.org/10.1093/bioinformatics/btp373
22 https://doi.org/10.1093/bioinformatics/btp698
23 https://doi.org/10.1093/bioinformatics/btr589
24 https://doi.org/10.1093/nar/gkq1145
25 https://doi.org/10.1101/gr.111120.110
26 https://doi.org/10.1111/1755-0998.12411
27 https://doi.org/10.1111/gbb.12201
28 https://doi.org/10.1111/j.1365-294x.1992.tb00170.x
29 https://doi.org/10.1111/j.1365-294x.2012.05614.x
30 https://doi.org/10.1111/mec.12522
31 https://doi.org/10.1126/science.1132772
32 https://doi.org/10.1371/journal.pgen.1000866
33 https://doi.org/10.1371/journal.pone.0118734
34 https://doi.org/10.1371/journal.pone.0124365
35 https://doi.org/10.4324/9780203819937
36 schema:datePublished 2016-11-08
37 schema:datePublishedReg 2016-11-08
38 schema:description The Africanized honeybee (AHB) is a population of Apis mellifera found in the Americas. AHBs originated in 1956 in Rio Clara, Brazil where imported African A. m. scutellata escaped and hybridized with local populations of European A. mellifera. Africanized populations can now be found from Northern Argentina to the Southern United States. AHBs-often referred to as 'Killer Bees'- are a major concern to the beekeeping industry as well as a model for the evolutionary genetics of colony defence. We performed high coverage pooled-resequencing of 360 diploid workers from 30 Brazilian AHB colonies using Illumina Hi-Seq (150 bp PE). This yielded a high density SNP data set with an average read depth at each site of 20.25 reads. With 3,606,720 SNPs and 155,336 SNPs within 11,365 genes, this data set is the largest genomic resource available for AHBs and will enable high-resolution studies of the population dynamics, evolution, and genetics of this successful biological invader, in addition to facilitating the development of SNP-based tools for identifying AHBs.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree true
42 schema:isPartOf Nc53578e525604ec6a67d7fa9e80546e9
43 sg:journal.1050678
44 schema:name A variant reference data set for the Africanized honeybee, Apis mellifera
45 schema:pagination 160097
46 schema:productId N42cc78bbfe4a40a3aedb2c30920725d3
47 N464a4eab677f4f5fb07210d86d0899bb
48 N565c68f34cc1427e87e38345796e68bc
49 Na5b8fa205d3c41439139a06796fa5ebb
50 Nc9df234ce6aa4c3aaa91a9d1292618d0
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004589108
52 https://doi.org/10.1038/sdata.2016.97
53 schema:sdDatePublished 2019-04-10T20:03
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Ncad9f071392d44b0ac1fd4551d907265
56 schema:url http://www.nature.com/articles/sdata201697
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N14370ac6c59b426f8979b800edb936bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Polymorphism, Single Nucleotide
62 rdf:type schema:DefinedTerm
63 N1ff4b43faa474a109179a2cbc0ab54f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Bees
65 rdf:type schema:DefinedTerm
66 N30a7f20a386a463caf91439be6a460c8 rdf:first sg:person.0632145042.30
67 rdf:rest Nfea96b3e849c41a0af184304a7c13a57
68 N317094851647487d92a5ab5a9404cd13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Genome, Insect
70 rdf:type schema:DefinedTerm
71 N42cc78bbfe4a40a3aedb2c30920725d3 schema:name nlm_unique_id
72 schema:value 101640192
73 rdf:type schema:PropertyValue
74 N464a4eab677f4f5fb07210d86d0899bb schema:name doi
75 schema:value 10.1038/sdata.2016.97
76 rdf:type schema:PropertyValue
77 N565c68f34cc1427e87e38345796e68bc schema:name dimensions_id
78 schema:value pub.1004589108
79 rdf:type schema:PropertyValue
80 N6eb48764e2ca4ba6bef2101ec849d9a0 rdf:first sg:person.0642521216.00
81 rdf:rest Ndce3caa6af584c71bd6553b557751157
82 N853eb30ff61b47baac19d3b9fee08511 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Animals
84 rdf:type schema:DefinedTerm
85 Na5b8fa205d3c41439139a06796fa5ebb schema:name pubmed_id
86 schema:value 27824336
87 rdf:type schema:PropertyValue
88 Nacfbaf87c4994727a296c2f931a16d17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Brazil
90 rdf:type schema:DefinedTerm
91 Nc53578e525604ec6a67d7fa9e80546e9 schema:volumeNumber 3
92 rdf:type schema:PublicationVolume
93 Nc9df234ce6aa4c3aaa91a9d1292618d0 schema:name readcube_id
94 schema:value 15de305cb63c5c0fc98521fd0dba6c82821b0016cc8400cf6a6fa4885e83695d
95 rdf:type schema:PropertyValue
96 Ncad9f071392d44b0ac1fd4551d907265 schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 Ndce3caa6af584c71bd6553b557751157 rdf:first sg:person.01266527716.09
99 rdf:rest N30a7f20a386a463caf91439be6a460c8
100 Ne14b1dfa9f9147a7b484b6756b078082 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Biological Evolution
102 rdf:type schema:DefinedTerm
103 Nef5e4bd12e03488ab0ca1cfb41200c27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Population Dynamics
105 rdf:type schema:DefinedTerm
106 Nfea96b3e849c41a0af184304a7c13a57 rdf:first sg:person.01041134662.53
107 rdf:rest rdf:nil
108 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
109 schema:name Biological Sciences
110 rdf:type schema:DefinedTerm
111 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
112 schema:name Genetics
113 rdf:type schema:DefinedTerm
114 sg:grant.4477085 http://pending.schema.org/fundedItem sg:pub.10.1038/sdata.2016.97
115 rdf:type schema:MonetaryGrant
116 sg:journal.1050678 schema:issn 2052-4463
117 schema:name Scientific Data
118 rdf:type schema:Periodical
119 sg:person.01041134662.53 schema:affiliation https://www.grid.ac/institutes/grid.21100.32
120 schema:familyName Zayed
121 schema:givenName Amro
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041134662.53
123 rdf:type schema:Person
124 sg:person.01266527716.09 schema:affiliation https://www.grid.ac/institutes/grid.21100.32
125 schema:familyName Harpur
126 schema:givenName Brock A
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266527716.09
128 rdf:type schema:Person
129 sg:person.0632145042.30 schema:affiliation https://www.grid.ac/institutes/grid.410543.7
130 schema:familyName Orsi
131 schema:givenName Ricardo O
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0632145042.30
133 rdf:type schema:Person
134 sg:person.0642521216.00 schema:affiliation https://www.grid.ac/institutes/grid.410543.7
135 schema:familyName Kadri
136 schema:givenName Samir M
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642521216.00
138 rdf:type schema:Person
139 sg:pub.10.1007/978-3-642-72649-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015275847
140 https://doi.org/10.1007/978-3-642-72649-1
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00040-015-0427-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051043257
143 https://doi.org/10.1007/s00040-015-0427-1
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nature05260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033687011
146 https://doi.org/10.1038/nature05260
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/ng.3077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023362722
149 https://doi.org/10.1038/ng.3077
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/ng.806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010244476
152 https://doi.org/10.1038/ng.806
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1006/mpev.1996.0050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014272293
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1073/pnas.0800107105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028685190
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1073/pnas.1315506111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012831754
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1080/0005772x.1964.11097060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020235545
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1093/bioinformatics/btp352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023014918
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1093/bioinformatics/btp373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008270984
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1093/bioinformatics/btp698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012031985
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1093/bioinformatics/btr589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015662900
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1093/nar/gkq1145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005569796
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1101/gr.111120.110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051094083
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1111/1755-0998.12411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023534699
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/gbb.12201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053271676
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1111/j.1365-294x.1992.tb00170.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035564424
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/j.1365-294x.2012.05614.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007163000
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1111/mec.12522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046981517
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1126/science.1132772 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062454736
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1371/journal.pgen.1000866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042478270
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1371/journal.pone.0118734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008677311
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1371/journal.pone.0124365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050350072
191 rdf:type schema:CreativeWork
192 https://doi.org/10.4324/9780203819937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041343873
193 rdf:type schema:CreativeWork
194 https://www.grid.ac/institutes/grid.21100.32 schema:alternateName York University
195 schema:name Department of Biology, Faculty of Sciences, York University, Toronto, Ontario M3J1P3, Canada.
196 rdf:type schema:Organization
197 https://www.grid.ac/institutes/grid.410543.7 schema:alternateName Sao Paulo State University
198 schema:name Departamento de Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Univ Estadual Paulista, UNESP, Botucatu, São Paulo 18618681, Brasil.
199 rdf:type schema:Organization
 




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


...