DNA sequences for the Zea mays tRNA genes tV-UAC and tS-UGA: tV-UAC contains a large intron View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1984-01

AUTHORS

Enno Krebbers, André Steinmetz, Lawrence Bogorad

ABSTRACT

The chloroplast genome contains genes for a large and probably complete set of tRNAs. These genes are unique in sharing attributes of both nuclear and bacterial tRNA genes. Two chloroplast tRNA genes from Zea mays are described here. tV-UAC, encoding a valine tRNA with the anticodon UAC, contains a 603 bp intron and is highly homologous, both in coding regions and in the intron, to the analogous gene from tobacco described by Deno et al. (Nucleic Acids Res 10:7511-7520, 1982). It is located near the gene for the beta and epsilon subunits of the CF1 complex. (Krebbers et al.: Nucleic Acids Res 10:4985-5002, 1982). The gene tS-UGA, encoding a serine tRNA with the anticodon UGA, is located 41 kbp 3' to tV-UAC. Both genes contain promoter-like sequences in their 5' flanking regions. More... »

PAGES

13-20

Journal

TITLE

Plant Molecular Biology

ISSUE

1

VOLUME

3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00023411

DOI

http://dx.doi.org/10.1007/bf00023411

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051450209

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24310255


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Cellular and Developmental Biology, The Harvard Biological Laboratories, 16 Divinity Avenue, 02138, Cambridge, MA, U.S.A."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krebbers", 
        "givenName": "Enno", 
        "id": "sg:person.014477202453.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014477202453.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cellular and Developmental Biology, The Harvard Biological Laboratories, 16 Divinity Avenue, 02138, Cambridge, MA, U.S.A."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Steinmetz", 
        "givenName": "Andr\u00e9", 
        "id": "sg:person.01114712662.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114712662.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cellular and Developmental Biology, The Harvard Biological Laboratories, 16 Divinity Avenue, 02138, Cambridge, MA, U.S.A."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bogorad", 
        "givenName": "Lawrence", 
        "id": "sg:person.01154236031.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154236031.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.78.8.4748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003160385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.72.10.3961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003891916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01578513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003952029", 
          "https://doi.org/10.1007/bf01578513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01578513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003952029", 
          "https://doi.org/10.1007/bf01578513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0076-6879(80)65059-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008420927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.75.7.3060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008985934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/288556a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010023964", 
          "https://doi.org/10.1038/288556a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(83)90472-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010938951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.62.4.1159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011113885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01578514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013066180", 
          "https://doi.org/10.1007/bf01578514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01578514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013066180", 
          "https://doi.org/10.1007/bf01578514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(80)90198-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016097403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(80)90198-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016097403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0076-6879(83)97160-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018973903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/10.16.4985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019683916"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.74.12.5463", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025360556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(81)90473-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027516414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/10.2.762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028744465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/10.1.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029870152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(75)80083-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033296365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(81)90245-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033398312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/9.2.309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040425653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/10.10.3027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052138521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/10.23.7511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059931640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1460-2075.1983.tb01376.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075014721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081993927", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082039653", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1984-01", 
    "datePublishedReg": "1984-01-01", 
    "description": "The chloroplast genome contains genes for a large and probably complete set of tRNAs. These genes are unique in sharing attributes of both nuclear and bacterial tRNA genes. Two chloroplast tRNA genes from Zea mays are described here. tV-UAC, encoding a valine tRNA with the anticodon UAC, contains a 603 bp intron and is highly homologous, both in coding regions and in the intron, to the analogous gene from tobacco described by Deno et al. (Nucleic Acids Res 10:7511-7520, 1982). It is located near the gene for the beta and epsilon subunits of the CF1 complex. (Krebbers et al.: Nucleic Acids Res 10:4985-5002, 1982). The gene tS-UGA, encoding a serine tRNA with the anticodon UGA, is located 41 kbp 3' to tV-UAC. Both genes contain promoter-like sequences in their 5' flanking regions. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00023411", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1101246", 
        "issn": [
          "0167-4412", 
          "1573-5028"
        ], 
        "name": "Plant Molecular Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "DNA sequences for the Zea mays tRNA genes tV-UAC and tS-UGA: tV-UAC contains a large intron", 
    "pagination": "13-20", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f51638a02f46d7f4bb37c153c066ced26f0b607c3ef8cca5c39f794634804d21"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24310255"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9106343"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00023411"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1051450209"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00023411", 
      "https://app.dimensions.ai/details/publication/pub.1051450209"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:00", 
    "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/v90/0000000371_0000000371/records_130826_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00023411"
  }
]
 

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/bf00023411'

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/bf00023411'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00023411'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00023411'


 

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

159 TRIPLES      21 PREDICATES      53 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00023411 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nc0d9937d6ea14bb48f07505104536731
4 schema:citation sg:pub.10.1007/bf01578513
5 sg:pub.10.1007/bf01578514
6 sg:pub.10.1038/288556a0
7 https://app.dimensions.ai/details/publication/pub.1081993927
8 https://app.dimensions.ai/details/publication/pub.1082039653
9 https://doi.org/10.1002/j.1460-2075.1983.tb01376.x
10 https://doi.org/10.1016/0003-2697(81)90473-5
11 https://doi.org/10.1016/0005-2787(80)90198-7
12 https://doi.org/10.1016/0076-6879(83)97160-4
13 https://doi.org/10.1016/0092-8674(81)90245-2
14 https://doi.org/10.1016/0092-8674(83)90472-5
15 https://doi.org/10.1016/s0022-2836(75)80083-0
16 https://doi.org/10.1016/s0076-6879(80)65059-9
17 https://doi.org/10.1073/pnas.62.4.1159
18 https://doi.org/10.1073/pnas.72.10.3961
19 https://doi.org/10.1073/pnas.74.12.5463
20 https://doi.org/10.1073/pnas.75.7.3060
21 https://doi.org/10.1073/pnas.78.8.4748
22 https://doi.org/10.1093/nar/10.1.1
23 https://doi.org/10.1093/nar/10.10.3027
24 https://doi.org/10.1093/nar/10.16.4985
25 https://doi.org/10.1093/nar/10.2.762
26 https://doi.org/10.1093/nar/10.23.7511
27 https://doi.org/10.1093/nar/9.2.309
28 schema:datePublished 1984-01
29 schema:datePublishedReg 1984-01-01
30 schema:description The chloroplast genome contains genes for a large and probably complete set of tRNAs. These genes are unique in sharing attributes of both nuclear and bacterial tRNA genes. Two chloroplast tRNA genes from Zea mays are described here. tV-UAC, encoding a valine tRNA with the anticodon UAC, contains a 603 bp intron and is highly homologous, both in coding regions and in the intron, to the analogous gene from tobacco described by Deno et al. (Nucleic Acids Res 10:7511-7520, 1982). It is located near the gene for the beta and epsilon subunits of the CF1 complex. (Krebbers et al.: Nucleic Acids Res 10:4985-5002, 1982). The gene tS-UGA, encoding a serine tRNA with the anticodon UGA, is located 41 kbp 3' to tV-UAC. Both genes contain promoter-like sequences in their 5' flanking regions.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree false
34 schema:isPartOf N0a18452abf4f41c3bc4d2df9f6753895
35 N22f710a588ff46aebab9b5c64e35728d
36 sg:journal.1101246
37 schema:name DNA sequences for the Zea mays tRNA genes tV-UAC and tS-UGA: tV-UAC contains a large intron
38 schema:pagination 13-20
39 schema:productId N0df25c39a3734719aba4f02f410593d6
40 N46081ed3217840f6be16645b649ea250
41 N81965068bd4e45c189abee7876daff7e
42 Nd2e884815ca5438d934803154fa08cd1
43 Nf63402f7c60847dba75bec474d13e5f9
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051450209
45 https://doi.org/10.1007/bf00023411
46 schema:sdDatePublished 2019-04-11T14:00
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher Nbb6673d9f88946e69ce0628132091302
49 schema:url http://link.springer.com/10.1007/BF00023411
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N0a18452abf4f41c3bc4d2df9f6753895 schema:volumeNumber 3
54 rdf:type schema:PublicationVolume
55 N0df25c39a3734719aba4f02f410593d6 schema:name dimensions_id
56 schema:value pub.1051450209
57 rdf:type schema:PropertyValue
58 N1e24e592a1f845a1919922cba5878ccf schema:name Department of Cellular and Developmental Biology, The Harvard Biological Laboratories, 16 Divinity Avenue, 02138, Cambridge, MA, U.S.A.
59 rdf:type schema:Organization
60 N22f710a588ff46aebab9b5c64e35728d schema:issueNumber 1
61 rdf:type schema:PublicationIssue
62 N46081ed3217840f6be16645b649ea250 schema:name nlm_unique_id
63 schema:value 9106343
64 rdf:type schema:PropertyValue
65 N81965068bd4e45c189abee7876daff7e schema:name doi
66 schema:value 10.1007/bf00023411
67 rdf:type schema:PropertyValue
68 Nbb6673d9f88946e69ce0628132091302 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Nbe7bfc8ac72a44c3927d3232269a3136 rdf:first sg:person.01114712662.29
71 rdf:rest Nfe965ba094d84b29ab989e0bcaa48d83
72 Nc0d9937d6ea14bb48f07505104536731 rdf:first sg:person.014477202453.38
73 rdf:rest Nbe7bfc8ac72a44c3927d3232269a3136
74 Nd2e884815ca5438d934803154fa08cd1 schema:name pubmed_id
75 schema:value 24310255
76 rdf:type schema:PropertyValue
77 Nd402a8960e5a4131871a2ff0bd33d410 schema:name Department of Cellular and Developmental Biology, The Harvard Biological Laboratories, 16 Divinity Avenue, 02138, Cambridge, MA, U.S.A.
78 rdf:type schema:Organization
79 Nd9797c514e9b4cd9a807b905dfefa6ea schema:name Department of Cellular and Developmental Biology, The Harvard Biological Laboratories, 16 Divinity Avenue, 02138, Cambridge, MA, U.S.A.
80 rdf:type schema:Organization
81 Nf63402f7c60847dba75bec474d13e5f9 schema:name readcube_id
82 schema:value f51638a02f46d7f4bb37c153c066ced26f0b607c3ef8cca5c39f794634804d21
83 rdf:type schema:PropertyValue
84 Nfe965ba094d84b29ab989e0bcaa48d83 rdf:first sg:person.01154236031.60
85 rdf:rest rdf:nil
86 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
87 schema:name Biological Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
90 schema:name Genetics
91 rdf:type schema:DefinedTerm
92 sg:journal.1101246 schema:issn 0167-4412
93 1573-5028
94 schema:name Plant Molecular Biology
95 rdf:type schema:Periodical
96 sg:person.01114712662.29 schema:affiliation N1e24e592a1f845a1919922cba5878ccf
97 schema:familyName Steinmetz
98 schema:givenName André
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114712662.29
100 rdf:type schema:Person
101 sg:person.01154236031.60 schema:affiliation Nd402a8960e5a4131871a2ff0bd33d410
102 schema:familyName Bogorad
103 schema:givenName Lawrence
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154236031.60
105 rdf:type schema:Person
106 sg:person.014477202453.38 schema:affiliation Nd9797c514e9b4cd9a807b905dfefa6ea
107 schema:familyName Krebbers
108 schema:givenName Enno
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014477202453.38
110 rdf:type schema:Person
111 sg:pub.10.1007/bf01578513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003952029
112 https://doi.org/10.1007/bf01578513
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/bf01578514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013066180
115 https://doi.org/10.1007/bf01578514
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/288556a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010023964
118 https://doi.org/10.1038/288556a0
119 rdf:type schema:CreativeWork
120 https://app.dimensions.ai/details/publication/pub.1081993927 schema:CreativeWork
121 https://app.dimensions.ai/details/publication/pub.1082039653 schema:CreativeWork
122 https://doi.org/10.1002/j.1460-2075.1983.tb01376.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1075014721
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/0003-2697(81)90473-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027516414
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/0005-2787(80)90198-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016097403
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/0076-6879(83)97160-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018973903
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/0092-8674(81)90245-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033398312
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/0092-8674(83)90472-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010938951
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/s0022-2836(75)80083-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033296365
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/s0076-6879(80)65059-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008420927
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1073/pnas.62.4.1159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011113885
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1073/pnas.72.10.3961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003891916
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1073/pnas.74.12.5463 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025360556
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1073/pnas.75.7.3060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008985934
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1073/pnas.78.8.4748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003160385
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1093/nar/10.1.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029870152
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1093/nar/10.10.3027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052138521
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1093/nar/10.16.4985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019683916
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1093/nar/10.2.762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028744465
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/nar/10.23.7511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059931640
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1093/nar/9.2.309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040425653
159 rdf:type schema:CreativeWork
 




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


...