Efficient Generation of Uniform Samples from Phylogenetic Trees View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003

AUTHORS

Paul Kearney , J. Ian Munro , Derek Phillips

ABSTRACT

In this paper, we introduce new algorithms for selecting taxon (leaf) samples from large phylogenetic trees, uniformly at random, under certain biologically relevant constraints on the taxa. All the algorithms run in polynomial time and have been implemented. The algorithms have direct applications to the evaluation of phylogenetic tree and supertree construction methods using biologically curated data. We also relate one of the sampling problems to the well-known clique problem on undirected graphs. From this, we obtain an interesting new class of graphs for which many open problems exist. More... »

PAGES

177-189

Book

TITLE

Algorithms in Bioinformatics

ISBN

978-3-540-20076-5
978-3-540-39763-2

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-39763-2_14

DOI

http://dx.doi.org/10.1007/978-3-540-39763-2_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001248165


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/2008/0802", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Computation Theory and Mathematics", 
        "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": {
          "name": [
            "Caprion Pharmaceuticals, 7150 Alexander-Fleming, H4S 2C8, Montr\u00e9al, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kearney", 
        "givenName": "Paul", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Waterloo", 
          "id": "https://www.grid.ac/institutes/grid.46078.3d", 
          "name": [
            "School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Munro", 
        "givenName": "J. Ian", 
        "id": "sg:person.010362264441.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010362264441.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Waterloo", 
          "id": "https://www.grid.ac/institutes/grid.46078.3d", 
          "name": [
            "School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Phillips", 
        "givenName": "Derek", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a003810", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005028222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1096-0031.1996.tb00194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009576271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1096-0031.1996.tb00194.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009576271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-1-4832-3211-9.50009-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016180325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01894195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017615483", 
          "https://doi.org/10.1007/bf01894195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01894195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017615483", 
          "https://doi.org/10.1007/bf01894195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ecolsys.33.010802.150511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020346911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01731581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023239976", 
          "https://doi.org/10.1007/bf01731581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01731581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023239976", 
          "https://doi.org/10.1007/bf01731581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01731581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023239976", 
          "https://doi.org/10.1007/bf01731581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0166-218x(95)00074-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027919812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jagm.1998.9999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032096870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0196-8858(82)80004-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032724280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/ss/998929474", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033018086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/1055-7903(92)90035-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039765394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.1995.0078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041494446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01734359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044065382", 
          "https://doi.org/10.1007/bf01734359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01734359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044065382", 
          "https://doi.org/10.1007/bf01734359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1056346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044701986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0006323199005307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054775728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/106351501750435112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058369203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/285021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058595144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/285743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058595866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.155.3760.279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062490443"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0201013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062841176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/0210030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062841583"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/s0097539799361683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062880351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1222480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069402467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2410733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069919460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2412028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069920532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2412810", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069921180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2412923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069921277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040454", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079752303"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003", 
    "datePublishedReg": "2003-01-01", 
    "description": "In this paper, we introduce new algorithms for selecting taxon (leaf) samples from large phylogenetic trees, uniformly at random, under certain biologically relevant constraints on the taxa. All the algorithms run in polynomial time and have been implemented. The algorithms have direct applications to the evaluation of phylogenetic tree and supertree construction methods using biologically curated data. We also relate one of the sampling problems to the well-known clique problem on undirected graphs. From this, we obtain an interesting new class of graphs for which many open problems exist.", 
    "editor": [
      {
        "familyName": "Benson", 
        "givenName": "Gary", 
        "type": "Person"
      }, 
      {
        "familyName": "Page", 
        "givenName": "Roderic D. M.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-39763-2_14", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-540-20076-5", 
        "978-3-540-39763-2"
      ], 
      "name": "Algorithms in Bioinformatics", 
      "type": "Book"
    }, 
    "name": "Efficient Generation of Uniform Samples from Phylogenetic Trees", 
    "pagination": "177-189", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001248165"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-39763-2_14"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "05f1e0e4ee64a8a8bc8781bc5fd334debe7f264b941de87b40e9954b9452df3b"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-39763-2_14", 
      "https://app.dimensions.ai/details/publication/pub.1001248165"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:05", 
    "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/v90/0000000359_0000000359/records_29222_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-540-39763-2_14"
  }
]
 

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.10.1007/978-3-540-39763-2_14'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-39763-2_14'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-39763-2_14'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-39763-2_14'


 

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

171 TRIPLES      23 PREDICATES      55 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-39763-2_14 schema:about anzsrc-for:08
2 anzsrc-for:0802
3 schema:author N79cbbae4e77f4776911265acec1caaa2
4 schema:citation sg:pub.10.1007/bf01731581
5 sg:pub.10.1007/bf01734359
6 sg:pub.10.1007/bf01894195
7 https://doi.org/10.1006/jagm.1998.9999
8 https://doi.org/10.1016/0166-218x(95)00074-2
9 https://doi.org/10.1016/1055-7903(92)90035-f
10 https://doi.org/10.1016/b978-1-4832-3211-9.50009-7
11 https://doi.org/10.1016/s0196-8858(82)80004-3
12 https://doi.org/10.1017/s0006323199005307
13 https://doi.org/10.1080/106351501750435112
14 https://doi.org/10.1086/285021
15 https://doi.org/10.1086/285743
16 https://doi.org/10.1093/oxfordjournals.molbev.a003810
17 https://doi.org/10.1093/oxfordjournals.molbev.a040454
18 https://doi.org/10.1098/rstb.1995.0078
19 https://doi.org/10.1111/j.1096-0031.1996.tb00194.x
20 https://doi.org/10.1126/science.1056346
21 https://doi.org/10.1126/science.155.3760.279
22 https://doi.org/10.1137/0201013
23 https://doi.org/10.1137/0210030
24 https://doi.org/10.1137/s0097539799361683
25 https://doi.org/10.1146/annurev.ecolsys.33.010802.150511
26 https://doi.org/10.1214/ss/998929474
27 https://doi.org/10.2307/1222480
28 https://doi.org/10.2307/2410733
29 https://doi.org/10.2307/2412028
30 https://doi.org/10.2307/2412810
31 https://doi.org/10.2307/2412923
32 schema:datePublished 2003
33 schema:datePublishedReg 2003-01-01
34 schema:description In this paper, we introduce new algorithms for selecting taxon (leaf) samples from large phylogenetic trees, uniformly at random, under certain biologically relevant constraints on the taxa. All the algorithms run in polynomial time and have been implemented. The algorithms have direct applications to the evaluation of phylogenetic tree and supertree construction methods using biologically curated data. We also relate one of the sampling problems to the well-known clique problem on undirected graphs. From this, we obtain an interesting new class of graphs for which many open problems exist.
35 schema:editor Nd6f8e71f4cc048c4b59cb6512cebf74a
36 schema:genre chapter
37 schema:inLanguage en
38 schema:isAccessibleForFree false
39 schema:isPartOf N06f558add76d4061abb01d31627dbb0c
40 schema:name Efficient Generation of Uniform Samples from Phylogenetic Trees
41 schema:pagination 177-189
42 schema:productId N2adcccf36fc64d3a8116ff34eecc6d75
43 N4a59edfb99fd474d83aae9b80494799e
44 Nbff29358869d45d89b882ea588b2ad43
45 schema:publisher Nc02e720db68848b8a07f908794b113d5
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001248165
47 https://doi.org/10.1007/978-3-540-39763-2_14
48 schema:sdDatePublished 2019-04-16T08:05
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N483662045c3e49e9833076917779e4a6
51 schema:url https://link.springer.com/10.1007%2F978-3-540-39763-2_14
52 sgo:license sg:explorer/license/
53 sgo:sdDataset chapters
54 rdf:type schema:Chapter
55 N06f558add76d4061abb01d31627dbb0c schema:isbn 978-3-540-20076-5
56 978-3-540-39763-2
57 schema:name Algorithms in Bioinformatics
58 rdf:type schema:Book
59 N0d00a41c86f7481284b49df7b1dbfd49 schema:familyName Benson
60 schema:givenName Gary
61 rdf:type schema:Person
62 N0d0103c34b5e4ef48d958e8db3f28219 schema:familyName Page
63 schema:givenName Roderic D. M.
64 rdf:type schema:Person
65 N2adcccf36fc64d3a8116ff34eecc6d75 schema:name dimensions_id
66 schema:value pub.1001248165
67 rdf:type schema:PropertyValue
68 N435312b08fb64782ad91a90b0cae8b44 rdf:first N0d0103c34b5e4ef48d958e8db3f28219
69 rdf:rest rdf:nil
70 N483662045c3e49e9833076917779e4a6 schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 N4a59edfb99fd474d83aae9b80494799e schema:name doi
73 schema:value 10.1007/978-3-540-39763-2_14
74 rdf:type schema:PropertyValue
75 N79cbbae4e77f4776911265acec1caaa2 rdf:first Nfd4f56fe4b5944b3b7260ea5904223f0
76 rdf:rest Nf931a129897343aa9c0cb1a3bd11d091
77 Nb9d5367b02174a048ab670910c8b66ef schema:affiliation https://www.grid.ac/institutes/grid.46078.3d
78 schema:familyName Phillips
79 schema:givenName Derek
80 rdf:type schema:Person
81 Nbff29358869d45d89b882ea588b2ad43 schema:name readcube_id
82 schema:value 05f1e0e4ee64a8a8bc8781bc5fd334debe7f264b941de87b40e9954b9452df3b
83 rdf:type schema:PropertyValue
84 Nc02e720db68848b8a07f908794b113d5 schema:location Berlin, Heidelberg
85 schema:name Springer Berlin Heidelberg
86 rdf:type schema:Organisation
87 Nd48b3ba9efe5453bad07c799ed3e485a schema:name Caprion Pharmaceuticals, 7150 Alexander-Fleming, H4S 2C8, Montréal, QC, Canada
88 rdf:type schema:Organization
89 Nd6f8e71f4cc048c4b59cb6512cebf74a rdf:first N0d00a41c86f7481284b49df7b1dbfd49
90 rdf:rest N435312b08fb64782ad91a90b0cae8b44
91 Ned622eb3ed764445bdef009f74e3f788 rdf:first Nb9d5367b02174a048ab670910c8b66ef
92 rdf:rest rdf:nil
93 Nf931a129897343aa9c0cb1a3bd11d091 rdf:first sg:person.010362264441.20
94 rdf:rest Ned622eb3ed764445bdef009f74e3f788
95 Nfd4f56fe4b5944b3b7260ea5904223f0 schema:affiliation Nd48b3ba9efe5453bad07c799ed3e485a
96 schema:familyName Kearney
97 schema:givenName Paul
98 rdf:type schema:Person
99 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
100 schema:name Information and Computing Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:0802 schema:inDefinedTermSet anzsrc-for:
103 schema:name Computation Theory and Mathematics
104 rdf:type schema:DefinedTerm
105 sg:person.010362264441.20 schema:affiliation https://www.grid.ac/institutes/grid.46078.3d
106 schema:familyName Munro
107 schema:givenName J. Ian
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010362264441.20
109 rdf:type schema:Person
110 sg:pub.10.1007/bf01731581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023239976
111 https://doi.org/10.1007/bf01731581
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/bf01734359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044065382
114 https://doi.org/10.1007/bf01734359
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/bf01894195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017615483
117 https://doi.org/10.1007/bf01894195
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1006/jagm.1998.9999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032096870
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/0166-218x(95)00074-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027919812
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/1055-7903(92)90035-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1039765394
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/b978-1-4832-3211-9.50009-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016180325
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/s0196-8858(82)80004-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032724280
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1017/s0006323199005307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054775728
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1080/106351501750435112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058369203
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1086/285021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058595144
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1086/285743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058595866
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1093/oxfordjournals.molbev.a003810 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005028222
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1093/oxfordjournals.molbev.a040454 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079752303
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1098/rstb.1995.0078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041494446
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1111/j.1096-0031.1996.tb00194.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009576271
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1126/science.1056346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044701986
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1126/science.155.3760.279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062490443
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1137/0201013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062841176
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1137/0210030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062841583
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1137/s0097539799361683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062880351
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1146/annurev.ecolsys.33.010802.150511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020346911
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1214/ss/998929474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033018086
158 rdf:type schema:CreativeWork
159 https://doi.org/10.2307/1222480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069402467
160 rdf:type schema:CreativeWork
161 https://doi.org/10.2307/2410733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069919460
162 rdf:type schema:CreativeWork
163 https://doi.org/10.2307/2412028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069920532
164 rdf:type schema:CreativeWork
165 https://doi.org/10.2307/2412810 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069921180
166 rdf:type schema:CreativeWork
167 https://doi.org/10.2307/2412923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069921277
168 rdf:type schema:CreativeWork
169 https://www.grid.ac/institutes/grid.46078.3d schema:alternateName University of Waterloo
170 schema:name School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada
171 rdf:type schema:Organization
 




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


...