Methods and compositions for large-scale analysis of nucleic acids using DNA deletions


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Radoje T. Drmanac

ABSTRACT

The present invention is related generally to analysis of polynucleotides, particularly polynucleotides derived from genomic DNA. The invention provides methods, compositions and systems for such analysis. Encompassed by the invention are constructs that include pairs of target sequences which are separated by a known distance in the polynucleotide from which they are derived. More... »

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/2008/2620", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Radoje T. Drmanac", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0003-2697(88)90251-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001311373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.92.13.6097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006657684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.3770505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011741115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4434", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012837556", 
          "https://doi.org/10.1038/4434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bies.950190309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015423625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017719492", 
          "https://doi.org/10.1038/nrg1709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth850", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017857571", 
          "https://doi.org/10.1038/nmeth850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02779015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018434472", 
          "https://doi.org/10.1007/bf02779015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021574562", 
          "https://doi.org/10.1038/nature03959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1521", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022754728", 
          "https://doi.org/10.1038/nrg1521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.3780320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023676423", 
          "https://doi.org/10.1038/labinvest.3780320"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/14.15.6115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024486931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/76469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028559169", 
          "https://doi.org/10.1038/76469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.242729199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030832970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-2697(03)00291-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034383294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.81.21.6812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037702115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10409239109114069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039339492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg1325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041884975", 
          "https://doi.org/10.1038/nrg1325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gni070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043825959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1133470100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045398840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/humu.20078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047892653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(05)80006-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053647041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac052067g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054997686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.281.5375.363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062561814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.8.5.549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083259065"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "description": "

The present invention is related generally to analysis of polynucleotides, particularly polynucleotides derived from genomic DNA. The invention provides methods, compositions and systems for such analysis. Encompassed by the invention are constructs that include pairs of target sequences which are separated by a known distance in the polynucleotide from which they are derived.

", "id": "sg:patent.US-9334490-B2", "keywords": [ "method", "composition", "large-scale analysis", "nucleic acid", "DNA deletion", "invention", "polynucleotides", "genomic DNA", "construct", "pair", "target sequence", "distance" ], "name": "Methods and compositions for large-scale analysis of nucleic acids using DNA deletions", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.450278.c", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-9334490-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:35", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com.uberresearch.data.dev.patents-pipeline/full_run_10/sn-export/5eb3e5a348d7f117b22cc85fb0b02730/0000100128-0000348334/json_export_b670b59c.jsonl", "type": "Patent" } ]
 

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/patent.US-9334490-B2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-9334490-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-9334490-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-9334490-B2'


 

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

117 TRIPLES      14 PREDICATES      50 URIs      19 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-9334490-B2 schema:about anzsrc-for:2620
2 schema:author Nb8a0673d99a74676960f6069be47ba58
3 schema:citation sg:pub.10.1007/bf02779015
4 sg:pub.10.1038/4434
5 sg:pub.10.1038/76469
6 sg:pub.10.1038/labinvest.3780320
7 sg:pub.10.1038/nature03959
8 sg:pub.10.1038/nmeth850
9 sg:pub.10.1038/nrg1325
10 sg:pub.10.1038/nrg1521
11 sg:pub.10.1038/nrg1709
12 https://doi.org/10.1002/bies.950190309
13 https://doi.org/10.1002/humu.20078
14 https://doi.org/10.1016/0003-2697(88)90251-5
15 https://doi.org/10.1016/s0003-2697(03)00291-4
16 https://doi.org/10.1016/s0022-2836(05)80006-3
17 https://doi.org/10.1021/ac052067g
18 https://doi.org/10.1073/pnas.1133470100
19 https://doi.org/10.1073/pnas.242729199
20 https://doi.org/10.1073/pnas.81.21.6812
21 https://doi.org/10.1073/pnas.92.13.6097
22 https://doi.org/10.1093/nar/14.15.6115
23 https://doi.org/10.1093/nar/gni070
24 https://doi.org/10.1101/gr.3770505
25 https://doi.org/10.1101/gr.8.5.549
26 https://doi.org/10.1126/science.281.5375.363
27 https://doi.org/10.3109/10409239109114069
28 schema:description <p id="p-0001" num="0000">The present invention is related generally to analysis of polynucleotides, particularly polynucleotides derived from genomic DNA. The invention provides methods, compositions and systems for such analysis. Encompassed by the invention are constructs that include pairs of target sequences which are separated by a known distance in the polynucleotide from which they are derived.</p>
29 schema:keywords DNA deletion
30 composition
31 construct
32 distance
33 genomic DNA
34 invention
35 large-scale analysis
36 method
37 nucleic acid
38 pair
39 polynucleotides
40 target sequence
41 schema:name Methods and compositions for large-scale analysis of nucleic acids using DNA deletions
42 schema:recipient https://www.grid.ac/institutes/grid.450278.c
43 schema:sameAs https://app.dimensions.ai/details/patent/US-9334490-B2
44 schema:sdDatePublished 2019-03-07T15:35
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher N60c11645a5894a8083569d126b07c1e3
47 sgo:license sg:explorer/license/
48 sgo:sdDataset patents
49 rdf:type sgo:Patent
50 N2776181337ca4d228245505af73be8a6 schema:name Radoje T. Drmanac
51 rdf:type schema:Person
52 N60c11645a5894a8083569d126b07c1e3 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 Nb8a0673d99a74676960f6069be47ba58 rdf:first N2776181337ca4d228245505af73be8a6
55 rdf:rest rdf:nil
56 anzsrc-for:2620 schema:inDefinedTermSet anzsrc-for:
57 rdf:type schema:DefinedTerm
58 sg:pub.10.1007/bf02779015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018434472
59 https://doi.org/10.1007/bf02779015
60 rdf:type schema:CreativeWork
61 sg:pub.10.1038/4434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012837556
62 https://doi.org/10.1038/4434
63 rdf:type schema:CreativeWork
64 sg:pub.10.1038/76469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028559169
65 https://doi.org/10.1038/76469
66 rdf:type schema:CreativeWork
67 sg:pub.10.1038/labinvest.3780320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023676423
68 https://doi.org/10.1038/labinvest.3780320
69 rdf:type schema:CreativeWork
70 sg:pub.10.1038/nature03959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574562
71 https://doi.org/10.1038/nature03959
72 rdf:type schema:CreativeWork
73 sg:pub.10.1038/nmeth850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017857571
74 https://doi.org/10.1038/nmeth850
75 rdf:type schema:CreativeWork
76 sg:pub.10.1038/nrg1325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041884975
77 https://doi.org/10.1038/nrg1325
78 rdf:type schema:CreativeWork
79 sg:pub.10.1038/nrg1521 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022754728
80 https://doi.org/10.1038/nrg1521
81 rdf:type schema:CreativeWork
82 sg:pub.10.1038/nrg1709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017719492
83 https://doi.org/10.1038/nrg1709
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1002/bies.950190309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015423625
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1002/humu.20078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047892653
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1016/0003-2697(88)90251-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001311373
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/s0003-2697(03)00291-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034383294
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/s0022-2836(05)80006-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053647041
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1021/ac052067g schema:sameAs https://app.dimensions.ai/details/publication/pub.1054997686
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1073/pnas.1133470100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045398840
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1073/pnas.242729199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030832970
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1073/pnas.81.21.6812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037702115
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1073/pnas.92.13.6097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006657684
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1093/nar/14.15.6115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024486931
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1093/nar/gni070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043825959
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1101/gr.3770505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011741115
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1101/gr.8.5.549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083259065
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1126/science.281.5375.363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062561814
114 rdf:type schema:CreativeWork
115 https://doi.org/10.3109/10409239109114069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039339492
116 rdf:type schema:CreativeWork
117 https://www.grid.ac/institutes/grid.450278.c schema:Organization
 




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


...