Microarray-based analysis of polynucleotide sequence variations


Ontology type: sgo:Patent     


Patent Info

DATE

2002-04-23T00:00

AUTHORS

Zailin Yu , Zaoyuan Peng , Qianjin Hu

ABSTRACT

Solid phase polymerase-mediated amplification approaches using immobilized primers on a microarray are provided for detecting sequence variations in a target polynucleotide. The methods and compositions provided herein are useful for research and clinical applications, particularly for large scale assays of genetic information in biological samples of interest.

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": "Zailin Yu", 
        "type": "Person"
      }, 
      {
        "name": "Zaoyuan Peng", 
        "type": "Person"
      }, 
      {
        "name": "Qianjin Hu", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/4469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001011306", 
          "https://doi.org/10.1038/4469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4469", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001011306", 
          "https://doi.org/10.1038/4469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/mcpr.1997.0139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001040572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002769930", 
          "https://doi.org/10.1038/4482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002769930", 
          "https://doi.org/10.1038/4482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/362359a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003042690", 
          "https://doi.org/10.1038/362359a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.2.4.305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003648721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017284394", 
          "https://doi.org/10.1038/4462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/4462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017284394", 
          "https://doi.org/10.1038/4462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcla.1860080619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028424072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/21.14.3159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030379595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00571876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031505857", 
          "https://doi.org/10.1007/bf00571876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00571876", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031505857", 
          "https://doi.org/10.1007/bf00571876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/12783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038501760", 
          "https://doi.org/10.1038/12783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/12783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038501760", 
          "https://doi.org/10.1038/12783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0198-8859(92)90002-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038669786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0198-8859(92)90002-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038669786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.20.10614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046356338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.7.3752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050385630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0958-1669(99)80013-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051162299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1962210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062515385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.270.5235.467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062551475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.278.5343.1580", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062558819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.8493534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062655806"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-04-23T00:00", 
    "description": "

Solid phase polymerase-mediated amplification approaches using immobilized primers on a microarray are provided for detecting sequence variations in a target polynucleotide. The methods and compositions provided herein are useful for research and clinical applications, particularly for large scale assays of genetic information in biological samples of interest.

", "id": "sg:patent.US-6376191-B1", "keywords": [ "microarrays", "sequence variation", "solid phase", "primer", "polynucleotides", "method", "composition", "clinical application", "large scale", "genetic information", "biological sample" ], "name": "Microarray-based analysis of polynucleotide sequence variations", "sameAs": [ "https://app.dimensions.ai/details/patent/US-6376191-B1" ], "sdDataset": "patents", "sdDatePublished": "2019-04-18T10:27", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-uberresearch-data-patents-target-20190320-rc/data/sn-export/402f166718b70575fb5d4ffe01f064d1/0000100128-0000352499/json_export_03105.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-6376191-B1'

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-6376191-B1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-6376191-B1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-6376191-B1'


 

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

99 TRIPLES      14 PREDICATES      42 URIs      19 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-6376191-B1 schema:about anzsrc-for:2620
2 schema:author Ne114081c03cd41408ad8eb137c51a6b7
3 schema:citation sg:pub.10.1007/bf00571876
4 sg:pub.10.1038/12783
5 sg:pub.10.1038/362359a0
6 sg:pub.10.1038/4462
7 sg:pub.10.1038/4469
8 sg:pub.10.1038/4482
9 https://doi.org/10.1002/jcla.1860080619
10 https://doi.org/10.1006/mcpr.1997.0139
11 https://doi.org/10.1016/0198-8859(92)90002-5
12 https://doi.org/10.1016/s0958-1669(99)80013-5
13 https://doi.org/10.1073/pnas.93.20.10614
14 https://doi.org/10.1073/pnas.95.7.3752
15 https://doi.org/10.1093/nar/21.14.3159
16 https://doi.org/10.1101/gr.2.4.305
17 https://doi.org/10.1126/science.1962210
18 https://doi.org/10.1126/science.270.5235.467
19 https://doi.org/10.1126/science.278.5343.1580
20 https://doi.org/10.1126/science.8493534
21 schema:datePublished 2002-04-23T00:00
22 schema:description <p>Solid phase polymerase-mediated amplification approaches using immobilized primers on a microarray are provided for detecting sequence variations in a target polynucleotide. The methods and compositions provided herein are useful for research and clinical applications, particularly for large scale assays of genetic information in biological samples of interest.</p>
23 schema:keywords biological sample
24 clinical application
25 composition
26 genetic information
27 large scale
28 method
29 microarrays
30 polynucleotides
31 primer
32 sequence variation
33 solid phase
34 schema:name Microarray-based analysis of polynucleotide sequence variations
35 schema:sameAs https://app.dimensions.ai/details/patent/US-6376191-B1
36 schema:sdDatePublished 2019-04-18T10:27
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher N497e4a0807e84b6286ee6c1d27820d7a
39 sgo:license sg:explorer/license/
40 sgo:sdDataset patents
41 rdf:type sgo:Patent
42 N1829a2daf66f4d94b262c2251f2fa2ce schema:name Qianjin Hu
43 rdf:type schema:Person
44 N497e4a0807e84b6286ee6c1d27820d7a schema:name Springer Nature - SN SciGraph project
45 rdf:type schema:Organization
46 N7506ff0cda34485aaa847e864ef0ee93 rdf:first N760c03cb91be49ffbce343099c213d90
47 rdf:rest Nb82279049c8c42e898b3c6d07867eb96
48 N760c03cb91be49ffbce343099c213d90 schema:name Zaoyuan Peng
49 rdf:type schema:Person
50 Nb82279049c8c42e898b3c6d07867eb96 rdf:first N1829a2daf66f4d94b262c2251f2fa2ce
51 rdf:rest rdf:nil
52 Ne114081c03cd41408ad8eb137c51a6b7 rdf:first Nfa9f189793524285890b9deb0ee69294
53 rdf:rest N7506ff0cda34485aaa847e864ef0ee93
54 Nfa9f189793524285890b9deb0ee69294 schema:name Zailin Yu
55 rdf:type schema:Person
56 anzsrc-for:2620 schema:inDefinedTermSet anzsrc-for:
57 rdf:type schema:DefinedTerm
58 sg:pub.10.1007/bf00571876 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031505857
59 https://doi.org/10.1007/bf00571876
60 rdf:type schema:CreativeWork
61 sg:pub.10.1038/12783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038501760
62 https://doi.org/10.1038/12783
63 rdf:type schema:CreativeWork
64 sg:pub.10.1038/362359a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003042690
65 https://doi.org/10.1038/362359a0
66 rdf:type schema:CreativeWork
67 sg:pub.10.1038/4462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017284394
68 https://doi.org/10.1038/4462
69 rdf:type schema:CreativeWork
70 sg:pub.10.1038/4469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001011306
71 https://doi.org/10.1038/4469
72 rdf:type schema:CreativeWork
73 sg:pub.10.1038/4482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002769930
74 https://doi.org/10.1038/4482
75 rdf:type schema:CreativeWork
76 https://doi.org/10.1002/jcla.1860080619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028424072
77 rdf:type schema:CreativeWork
78 https://doi.org/10.1006/mcpr.1997.0139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001040572
79 rdf:type schema:CreativeWork
80 https://doi.org/10.1016/0198-8859(92)90002-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038669786
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1016/s0958-1669(99)80013-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051162299
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1073/pnas.93.20.10614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046356338
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1073/pnas.95.7.3752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050385630
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1093/nar/21.14.3159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030379595
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1101/gr.2.4.305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003648721
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1126/science.1962210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062515385
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1126/science.270.5235.467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062551475
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1126/science.278.5343.1580 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062558819
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1126/science.8493534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062655806
99 rdf:type schema:CreativeWork
 




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


...