Methods and solutions for inhibiting undesired cleaving of labels


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Jerzy Olejnik , Evan Guggenheim , Visalakshi Meyyappan

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 Meyyappan", 
        "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/10.1093/nar/21.19.4530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015340238"
        ], 
        "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": "https://doi.org/10.1073/pnas.0501965102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039982848"
        ], 
        "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/10.1002/1522-2683(200208)23:16<2720::aid-elps2720>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050013627"
        ], 
        "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/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/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-9605301-B2", "keywords": [ "method", "solution", "label", "invention", "composition", "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 solutions 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-9605301-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:34", "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_b65d5aab.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-9605301-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-9605301-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-9605301-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-9605301-B2'


 

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

109 TRIPLES      14 PREDICATES      55 URIs      31 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-9605301-B2 schema:about anzsrc-for:2344
2 schema:author N8532496c8e3e43ee98a8e7a114ea0bac
3 schema:citation sg:pub.10.1038/nature03959
4 sg:pub.10.1038/nrg1325
5 https://doi.org/10.1002/1522-2683(200208)23:16<2720::aid-elps2720>3.0.co;2-z
6 https://doi.org/10.1006/bioo.1996.0005
7 https://doi.org/10.1016/j.bmcl.2006.03.073
8 https://doi.org/10.1016/j.tetlet.2006.01.135
9 https://doi.org/10.1016/s0008-6215(01)00292-0
10 https://doi.org/10.1016/s0040-4039(00)02183-3
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/jo00108a013
15 https://doi.org/10.1021/jo961778z
16 https://doi.org/10.1073/pnas.0501962102
17 https://doi.org/10.1073/pnas.0501965102
18 https://doi.org/10.1093/nar/21.19.4530
19 https://doi.org/10.1093/nar/gkn021
20 https://doi.org/10.1101/gr.3770505
21 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>
22 schema:keywords Base Sequence
23 Lighting
24 algorithm
25 apparatus
26 composition
27 computer
28 crosstalk
29 filter
30 identity
31 invention
32 label
33 limitation
34 medium
35 method
36 noise
37 nucleic acid
38 nucleotide sequencing
39 phenomenon
40 sequence
41 sequencing
42 software
43 solution
44 synthesis method
45 variation
46 schema:name Methods and solutions for inhibiting undesired cleaving of labels
47 schema:recipient https://www.grid.ac/institutes/grid.420266.4
48 schema:sameAs https://app.dimensions.ai/details/patent/US-9605301-B2
49 schema:sdDatePublished 2019-03-07T15:34
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N5140977e5a5f4f98968bbc71fa3566f7
52 sgo:license sg:explorer/license/
53 sgo:sdDataset patents
54 rdf:type sgo:Patent
55 N184967a08d5d4275b02a2a94a193f35f schema:name Evan Guggenheim
56 rdf:type schema:Person
57 N25b52b6bcc7d4e8f96b5dbd11a8d757a schema:name Visalakshi Meyyappan
58 rdf:type schema:Person
59 N5140977e5a5f4f98968bbc71fa3566f7 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N6bbac1ea8ad84687a3f50b5f305fce99 rdf:first N184967a08d5d4275b02a2a94a193f35f
62 rdf:rest Nc716b231e37a462f8f888eae9e1f1a58
63 N6f4ce35e7998463da508d4b787d4971f schema:name Jerzy Olejnik
64 rdf:type schema:Person
65 N8532496c8e3e43ee98a8e7a114ea0bac rdf:first N6f4ce35e7998463da508d4b787d4971f
66 rdf:rest N6bbac1ea8ad84687a3f50b5f305fce99
67 Nc716b231e37a462f8f888eae9e1f1a58 rdf:first N25b52b6bcc7d4e8f96b5dbd11a8d757a
68 rdf:rest rdf:nil
69 anzsrc-for:2344 schema:inDefinedTermSet anzsrc-for:
70 rdf:type schema:DefinedTerm
71 sg:pub.10.1038/nature03959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574562
72 https://doi.org/10.1038/nature03959
73 rdf:type schema:CreativeWork
74 sg:pub.10.1038/nrg1325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041884975
75 https://doi.org/10.1038/nrg1325
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1002/1522-2683(200208)23:16<2720::aid-elps2720>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1050013627
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1006/bioo.1996.0005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054487109
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1016/j.bmcl.2006.03.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016966830
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1016/j.tetlet.2006.01.135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039969206
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1016/s0008-6215(01)00292-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002783844
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1016/s0040-4039(00)02183-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007521231
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1021/ja042162r schema:sameAs https://app.dimensions.ai/details/publication/pub.1055835494
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1021/ja057136n schema:sameAs https://app.dimensions.ai/details/publication/pub.1055840672
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1021/jm00137a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055936373
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/10.1073/pnas.0501965102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039982848
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1093/nar/21.19.4530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015340238
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1093/nar/gkn021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005169388
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1101/gr.3770505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011741115
108 rdf:type schema:CreativeWork
109 https://www.grid.ac/institutes/grid.420266.4 schema:Organization
 




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


...