Variation of Background Knowledge in an Industrial Application of ILP View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2011

AUTHORS

Stephen H. Muggleton , Jianzhong Chen , Hiroaki Watanabe , Stuart J. Dunbar , Charles Baxter , Richard Currie , José Domingo Salazar , Jan Taubert , Michael J. E. Sternberg

ABSTRACT

In several recent papers ILP has been applied to Systems Biology problems, in which it has been used to fill gaps in the descriptions of biological networks. In the present paper we describe two new applications of this type in the area of plant biology. These applications are of particular interest to the agrochemical industry in which improvements in plant strains can have benefits for modelling crop development. The background knowledge in these applications is extensive and is derived from public databases in a Prolog format using a new system called Ondex (developers BBSRC Rothamsted). In this paper we explore the question of how much of this background knowledge it is beneficial to include, taking into account accuracy increases versus increases in learning time. The results indicate that relatively shallow background knowledge is needed to achieve maximum accuracy. More... »

PAGES

158-170

Book

TITLE

Inductive Logic Programming

ISBN

978-3-642-21294-9
978-3-642-21295-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-21295-6_19

DOI

http://dx.doi.org/10.1007/978-3-642-21295-6_19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009069868


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/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muggleton", 
        "givenName": "Stephen H.", 
        "id": "sg:person.01125137176.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125137176.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Jianzhong", 
        "id": "sg:person.013012363165.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013012363165.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Hiroaki", 
        "id": "sg:person.014357062105.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014357062105.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dunbar", 
        "givenName": "Stuart J.", 
        "id": "sg:person.0646224336.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224336.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baxter", 
        "givenName": "Charles", 
        "id": "sg:person.01216105465.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216105465.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Currie", 
        "givenName": "Richard", 
        "id": "sg:person.01306377353.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306377353.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salazar", 
        "givenName": "Jos\u00e9 Domingo", 
        "id": "sg:person.0646224370.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224370.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rothamsted Research", 
          "id": "https://www.grid.ac/institutes/grid.418374.d", 
          "name": [
            "BBSRC Rothamsted Research, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Taubert", 
        "givenName": "Jan", 
        "id": "sg:person.01160051365.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160051365.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rothamsted Research", 
          "id": "https://www.grid.ac/institutes/grid.418374.d", 
          "name": [
            "BBSRC Rothamsted Research, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sternberg", 
        "givenName": "Michael J. E.", 
        "id": "sg:person.0611736450.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611736450.97"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/27.1.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001521131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10994-008-5076-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013619693", 
          "https://doi.org/10.1007/s10994-008-5076-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1090/s0002-9939-1956-0078686-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018477579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10994-006-8988-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023237305", 
          "https://doi.org/10.1007/s10994-006-8988-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023587035", 
          "https://doi.org/10.1038/nature01254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023587035", 
          "https://doi.org/10.1038/nature01254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023587035", 
          "https://doi.org/10.1038/nature01254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btl081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024625191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.105.060707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036331692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039819082", 
          "https://doi.org/10.1186/1471-2164-11-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2008.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042407175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-44960-4_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042912075", 
          "https://doi.org/10.1007/3-540-44960-4_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac100344m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055000179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac100344m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055000179"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "In several recent papers ILP has been applied to Systems Biology problems, in which it has been used to fill gaps in the descriptions of biological networks. In the present paper we describe two new applications of this type in the area of plant biology. These applications are of particular interest to the agrochemical industry in which improvements in plant strains can have benefits for modelling crop development. The background knowledge in these applications is extensive and is derived from public databases in a Prolog format using a new system called Ondex (developers BBSRC Rothamsted). In this paper we explore the question of how much of this background knowledge it is beneficial to include, taking into account accuracy increases versus increases in learning time. The results indicate that relatively shallow background knowledge is needed to achieve maximum accuracy.", 
    "editor": [
      {
        "familyName": "Frasconi", 
        "givenName": "Paolo", 
        "type": "Person"
      }, 
      {
        "familyName": "Lisi", 
        "givenName": "Francesca A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-21295-6_19", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-21294-9", 
        "978-3-642-21295-6"
      ], 
      "name": "Inductive Logic Programming", 
      "type": "Book"
    }, 
    "name": "Variation of Background Knowledge in an Industrial Application of ILP", 
    "pagination": "158-170", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009069868"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-21295-6_19"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2b35e8ac3f1767f72e46619ee4165cc0e1fd545af08046eca22ad7c780fad0b7"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-21295-6_19", 
      "https://app.dimensions.ai/details/publication/pub.1009069868"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T08:52", 
    "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/v90/0000000368_0000000368/records_78959_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-21295-6_19"
  }
]
 

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.10.1007/978-3-642-21295-6_19'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21295-6_19'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21295-6_19'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21295-6_19'


 

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

170 TRIPLES      23 PREDICATES      38 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-21295-6_19 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author N9e83a3be01db404cb50ee7cec037264e
4 schema:citation sg:pub.10.1007/3-540-44960-4_8
5 sg:pub.10.1007/s10994-006-8988-x
6 sg:pub.10.1007/s10994-008-5076-4
7 sg:pub.10.1038/nature01254
8 sg:pub.10.1186/1471-2164-11-9
9 https://doi.org/10.1016/j.jbi.2008.01.008
10 https://doi.org/10.1021/ac100344m
11 https://doi.org/10.1090/s0002-9939-1956-0078686-7
12 https://doi.org/10.1093/bioinformatics/btl081
13 https://doi.org/10.1093/nar/27.1.29
14 https://doi.org/10.1104/pp.105.060707
15 schema:datePublished 2011
16 schema:datePublishedReg 2011-01-01
17 schema:description In several recent papers ILP has been applied to Systems Biology problems, in which it has been used to fill gaps in the descriptions of biological networks. In the present paper we describe two new applications of this type in the area of plant biology. These applications are of particular interest to the agrochemical industry in which improvements in plant strains can have benefits for modelling crop development. The background knowledge in these applications is extensive and is derived from public databases in a Prolog format using a new system called Ondex (developers BBSRC Rothamsted). In this paper we explore the question of how much of this background knowledge it is beneficial to include, taking into account accuracy increases versus increases in learning time. The results indicate that relatively shallow background knowledge is needed to achieve maximum accuracy.
18 schema:editor Nbc09415a5e064571a8b41351fc215bdd
19 schema:genre chapter
20 schema:inLanguage en
21 schema:isAccessibleForFree true
22 schema:isPartOf N0c3e299311c644f7a8fb40f5aefe3a2b
23 schema:name Variation of Background Knowledge in an Industrial Application of ILP
24 schema:pagination 158-170
25 schema:productId N39b4e7eab69240c9bf75215b3d163584
26 Nad1ff637bb1b45ae96efe8e71c25dedf
27 Nc7ea0e6fc3b04b518dd98a521cada8be
28 schema:publisher Na5241f6539e74d56b4cb55e5183e1751
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009069868
30 https://doi.org/10.1007/978-3-642-21295-6_19
31 schema:sdDatePublished 2019-04-16T08:52
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher Nc0d98574827049f59d0938e5303e1f79
34 schema:url https://link.springer.com/10.1007%2F978-3-642-21295-6_19
35 sgo:license sg:explorer/license/
36 sgo:sdDataset chapters
37 rdf:type schema:Chapter
38 N0c3e299311c644f7a8fb40f5aefe3a2b schema:isbn 978-3-642-21294-9
39 978-3-642-21295-6
40 schema:name Inductive Logic Programming
41 rdf:type schema:Book
42 N178a2953c9d24c419581886cea5fb989 schema:familyName Lisi
43 schema:givenName Francesca A.
44 rdf:type schema:Person
45 N238f81ddbab34a9ebb2a85189c501936 rdf:first N178a2953c9d24c419581886cea5fb989
46 rdf:rest rdf:nil
47 N29547e1b08ac45a1ab698c6458e430c1 rdf:first sg:person.01306377353.24
48 rdf:rest Nc4384b5a413341bfb64dfaaacf04307e
49 N2bc6052a12914c308fa351053e67d479 rdf:first sg:person.01160051365.63
50 rdf:rest Nbcb356414d4f4c2790061a65d96d6a91
51 N2f0fa2a40e554ea5ad36c809852f1390 rdf:first sg:person.0646224336.56
52 rdf:rest N3c5f06c2e8924eb3b07309d7166ab91e
53 N39b4e7eab69240c9bf75215b3d163584 schema:name doi
54 schema:value 10.1007/978-3-642-21295-6_19
55 rdf:type schema:PropertyValue
56 N3c5f06c2e8924eb3b07309d7166ab91e rdf:first sg:person.01216105465.77
57 rdf:rest N29547e1b08ac45a1ab698c6458e430c1
58 N60d2705e9f0a41ffa2a79ca23f4f2ae4 rdf:first sg:person.014357062105.80
59 rdf:rest N2f0fa2a40e554ea5ad36c809852f1390
60 N9e83a3be01db404cb50ee7cec037264e rdf:first sg:person.01125137176.85
61 rdf:rest Nca92358e1a534ede876a34d0841d62b4
62 Na5241f6539e74d56b4cb55e5183e1751 schema:location Berlin, Heidelberg
63 schema:name Springer Berlin Heidelberg
64 rdf:type schema:Organisation
65 Nad1ff637bb1b45ae96efe8e71c25dedf schema:name dimensions_id
66 schema:value pub.1009069868
67 rdf:type schema:PropertyValue
68 Nbc09415a5e064571a8b41351fc215bdd rdf:first Nd541ace385bc4452bae54e5e6a24813d
69 rdf:rest N238f81ddbab34a9ebb2a85189c501936
70 Nbcb356414d4f4c2790061a65d96d6a91 rdf:first sg:person.0611736450.97
71 rdf:rest rdf:nil
72 Nc0d98574827049f59d0938e5303e1f79 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Nc4384b5a413341bfb64dfaaacf04307e rdf:first sg:person.0646224370.24
75 rdf:rest N2bc6052a12914c308fa351053e67d479
76 Nc7ea0e6fc3b04b518dd98a521cada8be schema:name readcube_id
77 schema:value 2b35e8ac3f1767f72e46619ee4165cc0e1fd545af08046eca22ad7c780fad0b7
78 rdf:type schema:PropertyValue
79 Nca92358e1a534ede876a34d0841d62b4 rdf:first sg:person.013012363165.39
80 rdf:rest N60d2705e9f0a41ffa2a79ca23f4f2ae4
81 Nd541ace385bc4452bae54e5e6a24813d schema:familyName Frasconi
82 schema:givenName Paolo
83 rdf:type schema:Person
84 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
85 schema:name Mathematical Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
88 schema:name Applied Mathematics
89 rdf:type schema:DefinedTerm
90 sg:person.01125137176.85 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
91 schema:familyName Muggleton
92 schema:givenName Stephen H.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125137176.85
94 rdf:type schema:Person
95 sg:person.01160051365.63 schema:affiliation https://www.grid.ac/institutes/grid.418374.d
96 schema:familyName Taubert
97 schema:givenName Jan
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160051365.63
99 rdf:type schema:Person
100 sg:person.01216105465.77 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
101 schema:familyName Baxter
102 schema:givenName Charles
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216105465.77
104 rdf:type schema:Person
105 sg:person.013012363165.39 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
106 schema:familyName Chen
107 schema:givenName Jianzhong
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013012363165.39
109 rdf:type schema:Person
110 sg:person.01306377353.24 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
111 schema:familyName Currie
112 schema:givenName Richard
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306377353.24
114 rdf:type schema:Person
115 sg:person.014357062105.80 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
116 schema:familyName Watanabe
117 schema:givenName Hiroaki
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014357062105.80
119 rdf:type schema:Person
120 sg:person.0611736450.97 schema:affiliation https://www.grid.ac/institutes/grid.418374.d
121 schema:familyName Sternberg
122 schema:givenName Michael J. E.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611736450.97
124 rdf:type schema:Person
125 sg:person.0646224336.56 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
126 schema:familyName Dunbar
127 schema:givenName Stuart J.
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224336.56
129 rdf:type schema:Person
130 sg:person.0646224370.24 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
131 schema:familyName Salazar
132 schema:givenName José Domingo
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224370.24
134 rdf:type schema:Person
135 sg:pub.10.1007/3-540-44960-4_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042912075
136 https://doi.org/10.1007/3-540-44960-4_8
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10994-006-8988-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023237305
139 https://doi.org/10.1007/s10994-006-8988-x
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s10994-008-5076-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013619693
142 https://doi.org/10.1007/s10994-008-5076-4
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/nature01254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023587035
145 https://doi.org/10.1038/nature01254
146 rdf:type schema:CreativeWork
147 sg:pub.10.1186/1471-2164-11-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039819082
148 https://doi.org/10.1186/1471-2164-11-9
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.jbi.2008.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042407175
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1021/ac100344m schema:sameAs https://app.dimensions.ai/details/publication/pub.1055000179
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1090/s0002-9939-1956-0078686-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018477579
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/bioinformatics/btl081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024625191
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1093/nar/27.1.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001521131
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1104/pp.105.060707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036331692
161 rdf:type schema:CreativeWork
162 https://www.grid.ac/institutes/grid.418374.d schema:alternateName Rothamsted Research
163 schema:name BBSRC Rothamsted Research, UK
164 rdf:type schema:Organization
165 https://www.grid.ac/institutes/grid.426114.4 schema:alternateName Syngenta (United Kingdom)
166 schema:name Syngenta Ltd, UK
167 rdf:type schema:Organization
168 https://www.grid.ac/institutes/grid.7445.2 schema:alternateName Imperial College London
169 schema:name Imperial College London, UK
170 rdf:type schema:Organization
 




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


...