Methods and compositions for inhibiting undesired cleaving of labels


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Jerzy Olejnik , Evan Guggenheim , Visalakshi Visalakshi

ABSTRACT

The invention provides methods and compositions, including, without limitation, algorithms, computer readable media, computer programs, apparatus, and systems for determining the identity of nucleic acids in nucleotide sequences using, for example, data obtained from sequencing by synthesis methods. The methods of the invention include correcting one or more phenomena that are encountered during nucleotide sequencing, such as using sequencing by synthesis methods. These phenomena include, without limitation, sequence lead, sequence lag, spectral crosstalk, and noise resulting from variations in illumination and/or filter responses. More... »

Related SciGraph Publications

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/2008/2344", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Jerzy Olejnik", 
        "type": "Person"
      }, 
      {
        "name": "Evan Guggenheim", 
        "type": "Person"
      }, 
      {
        "name": "Visalakshi Visalakshi", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0008-6215(01)00292-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002783844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005169388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0040-4039(00)02183-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007521231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.3770505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011741115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bmcl.2006.03.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016966830"
        ], 
        "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": "https://doi.org/10.1073/pnas.0501962102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022286151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tetlet.2006.01.135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039969206"
        ], 
        "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/10.1006/bioo.1996.0005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054487109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00781a030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055747334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja042162r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055835494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja057136n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055840672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jm00137a001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055936373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jm970147+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055958190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jo00108a013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055967069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jo961778z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056036689"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "description": "

The invention provides methods and compositions, including, without limitation, algorithms, computer readable media, computer programs, apparatus, and systems for determining the identity of nucleic acids in nucleotide sequences using, for example, data obtained from sequencing by synthesis methods. The methods of the invention include correcting one or more phenomena that are encountered during nucleotide sequencing, such as using sequencing by synthesis methods. These phenomena include, without limitation, sequence lead, sequence lag, spectral crosstalk, and noise resulting from variations in illumination and/or filter responses.

", "id": "sg:patent.US-9765384-B2", "keywords": [ "method", "composition", "label", "invention", "limitation", "algorithm", "computer", "medium", "software", "apparatus", "identity", "nucleic acid", "Base Sequence", "sequencing", "synthesis method", "phenomenon", "nucleotide sequencing", "sequence", "crosstalk", "noise", "variation", "Lighting", "filter" ], "name": "Methods and compositions for inhibiting undesired cleaving of labels", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.420266.4", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-9765384-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:28", "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_03300925.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-9765384-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-9765384-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-9765384-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-9765384-B2'


 

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

105 TRIPLES      14 PREDICATES      53 URIs      30 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-9765384-B2 schema:about anzsrc-for:2344
2 schema:author N77aeb222b3ae4dc78d71e402f0e1857a
3 schema:citation sg:pub.10.1038/nature03959
4 sg:pub.10.1038/nrg1325
5 https://doi.org/10.1006/bioo.1996.0005
6 https://doi.org/10.1016/j.bmcl.2006.03.073
7 https://doi.org/10.1016/j.tetlet.2006.01.135
8 https://doi.org/10.1016/s0008-6215(01)00292-0
9 https://doi.org/10.1016/s0040-4039(00)02183-3
10 https://doi.org/10.1021/ja00781a030
11 https://doi.org/10.1021/ja042162r
12 https://doi.org/10.1021/ja057136n
13 https://doi.org/10.1021/jm00137a001
14 https://doi.org/10.1021/jm970147+
15 https://doi.org/10.1021/jo00108a013
16 https://doi.org/10.1021/jo961778z
17 https://doi.org/10.1073/pnas.0501962102
18 https://doi.org/10.1093/nar/gkn021
19 https://doi.org/10.1101/gr.3770505
20 schema:description <p id="p-0001" num="0000">The invention provides methods and compositions, including, without limitation, algorithms, computer readable media, computer programs, apparatus, and systems for determining the identity of nucleic acids in nucleotide sequences using, for example, data obtained from sequencing by synthesis methods. The methods of the invention include correcting one or more phenomena that are encountered during nucleotide sequencing, such as using sequencing by synthesis methods. These phenomena include, without limitation, sequence lead, sequence lag, spectral crosstalk, and noise resulting from variations in illumination and/or filter responses.</p>
21 schema:keywords Base Sequence
22 Lighting
23 algorithm
24 apparatus
25 composition
26 computer
27 crosstalk
28 filter
29 identity
30 invention
31 label
32 limitation
33 medium
34 method
35 noise
36 nucleic acid
37 nucleotide sequencing
38 phenomenon
39 sequence
40 sequencing
41 software
42 synthesis method
43 variation
44 schema:name Methods and compositions for inhibiting undesired cleaving of labels
45 schema:recipient https://www.grid.ac/institutes/grid.420266.4
46 schema:sameAs https://app.dimensions.ai/details/patent/US-9765384-B2
47 schema:sdDatePublished 2019-03-07T15:28
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher Nce19777ea6ca47b59b472b88d56ec98d
50 sgo:license sg:explorer/license/
51 sgo:sdDataset patents
52 rdf:type sgo:Patent
53 N2386eaa26a254ed78fb7be2d99a341ff schema:name Evan Guggenheim
54 rdf:type schema:Person
55 N77aeb222b3ae4dc78d71e402f0e1857a rdf:first Ncb85f005c1424926955524e982263f97
56 rdf:rest Ne812ec6f23da4ec19d5fe6adf55ae77f
57 N889a3b75a8d8434e98e623f6e7d3f436 schema:name Visalakshi Visalakshi
58 rdf:type schema:Person
59 N90e93c2e131e43319db60c54067ba4ec rdf:first N889a3b75a8d8434e98e623f6e7d3f436
60 rdf:rest rdf:nil
61 Ncb85f005c1424926955524e982263f97 schema:name Jerzy Olejnik
62 rdf:type schema:Person
63 Nce19777ea6ca47b59b472b88d56ec98d schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 Ne812ec6f23da4ec19d5fe6adf55ae77f rdf:first N2386eaa26a254ed78fb7be2d99a341ff
66 rdf:rest N90e93c2e131e43319db60c54067ba4ec
67 anzsrc-for:2344 schema:inDefinedTermSet anzsrc-for:
68 rdf:type schema:DefinedTerm
69 sg:pub.10.1038/nature03959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574562
70 https://doi.org/10.1038/nature03959
71 rdf:type schema:CreativeWork
72 sg:pub.10.1038/nrg1325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041884975
73 https://doi.org/10.1038/nrg1325
74 rdf:type schema:CreativeWork
75 https://doi.org/10.1006/bioo.1996.0005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054487109
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1016/j.bmcl.2006.03.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016966830
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1016/j.tetlet.2006.01.135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039969206
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1016/s0008-6215(01)00292-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002783844
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1016/s0040-4039(00)02183-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007521231
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1021/ja00781a030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055747334
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1021/ja042162r schema:sameAs https://app.dimensions.ai/details/publication/pub.1055835494
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1021/ja057136n schema:sameAs https://app.dimensions.ai/details/publication/pub.1055840672
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1021/jm00137a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055936373
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1021/jm970147+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1055958190
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1021/jo00108a013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055967069
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1021/jo961778z schema:sameAs https://app.dimensions.ai/details/publication/pub.1056036689
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1073/pnas.0501962102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022286151
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1093/nar/gkn021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005169388
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1101/gr.3770505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011741115
104 rdf:type schema:CreativeWork
105 https://www.grid.ac/institutes/grid.420266.4 schema:Organization
 




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


...