A pooling-deconvolution strategy for biological network elucidation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-02-17

AUTHORS

Fulai Jin, Tony Hazbun, Gregory A Michaud, Michael Salcius, Paul F Predki, Stanley Fields, Jing Huang

ABSTRACT

The generation of large-scale data sets is a fundamental requirement of systems biology. But despite recent advances, generation of such high-coverage data remains a major challenge. We developed a pooling-deconvolution strategy that can dramatically decrease the effort required. This strategy, pooling with imaginary tags followed by deconvolution (PI-deconvolution), allows the screening of 2n probe proteins (baits) in 2 × n pools, with n replicates for each bait. Deconvolution of baits with their binding partners (preys) can be achieved by reading the prey's profile from the 2 × n experiments. We validated this strategy for protein-protein interaction mapping using both proteome microarrays and a yeast two-hybrid array, demonstrating that PI-deconvolution can be used to identify interactions accurately with fewer experiments and better coverage. We also show that PI-deconvolution can be used to identify protein-small molecule interactions inferred from profiling the yeast deletion collection. PI-deconvolution should be applicable to a wide range of library-against-library approaches and can also be used to optimize array designs. More... »

PAGES

183-189

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth859

DOI

http://dx.doi.org/10.1038/nmeth859

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038047527

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16489335


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computational Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Resistance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Array Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Systems Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Two-Hybrid System Techniques", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, 90095, Los Angeles, California, USA", 
          "id": "http://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, 90095, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jin", 
        "givenName": "Fulai", 
        "id": "sg:person.0700534633.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700534633.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, 47907, West Lafayette, Indiana, USA", 
          "id": "http://www.grid.ac/institutes/grid.169077.e", 
          "name": [
            "Departments of Genome Sciences and Medicine, Howard Hughes Medical Institute (HHMI), University of Washington, Box 357730, 98195, Seattle, Washington, USA", 
            "Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, 47907, West Lafayette, Indiana, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hazbun", 
        "givenName": "Tony", 
        "id": "sg:person.01054170672.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054170672.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Michaud", 
        "givenName": "Gregory A", 
        "id": "sg:person.01027032460.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027032460.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salcius", 
        "givenName": "Michael", 
        "id": "sg:person.0716032413.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716032413.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Predki", 
        "givenName": "Paul F", 
        "id": "sg:person.0650331760.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650331760.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Departments of Genome Sciences and Medicine, Howard Hughes Medical Institute (HHMI), University of Washington, Box 357730, 98195, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Departments of Genome Sciences and Medicine, Howard Hughes Medical Institute (HHMI), University of Washington, Box 357730, 98195, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fields", 
        "givenName": "Stanley", 
        "id": "sg:person.014624417057.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014624417057.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, 90095, Los Angeles, California, USA", 
          "id": "http://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, 90095, Los Angeles, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Jing", 
        "id": "sg:person.01310021406.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310021406.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/35075138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038990326", 
          "https://doi.org/10.1038/35075138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006733745", 
          "https://doi.org/10.1038/nature04209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052020554", 
          "https://doi.org/10.1038/nature01512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35001009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035773549", 
          "https://doi.org/10.1038/35001009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/415141a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001484556", 
          "https://doi.org/10.1038/415141a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt910", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016514671", 
          "https://doi.org/10.1038/nbt910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35036627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051510804", 
          "https://doi.org/10.1038/35036627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008948873", 
          "https://doi.org/10.1038/nature03239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-0227-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033228527", 
          "https://doi.org/10.1007/978-1-4615-0227-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004380100455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043066677", 
          "https://doi.org/10.1007/s004380100455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/415180a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005267371", 
          "https://doi.org/10.1038/415180a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature00935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015995329", 
          "https://doi.org/10.1038/nature00935"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-02-17", 
    "datePublishedReg": "2006-02-17", 
    "description": "The generation of large-scale data sets is a fundamental requirement of systems biology. But despite recent advances, generation of such high-coverage data remains a major challenge. We developed a pooling-deconvolution strategy that can dramatically decrease the effort required. This strategy, pooling with imaginary tags followed by deconvolution (PI-deconvolution), allows the screening of 2n probe proteins (baits) in 2 \u00d7 n pools, with n replicates for each bait. Deconvolution of baits with their binding partners (preys) can be achieved by reading the prey's profile from the 2 \u00d7 n experiments. We validated this strategy for protein-protein interaction mapping using both proteome microarrays and a yeast two-hybrid array, demonstrating that PI-deconvolution can be used to identify interactions accurately with fewer experiments and better coverage. We also show that PI-deconvolution can be used to identify protein-small molecule interactions inferred from profiling the yeast deletion collection. PI-deconvolution should be applicable to a wide range of library-against-library approaches and can also be used to optimize array designs.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/nmeth859", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2613349", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2439911", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1033763", 
        "issn": [
          "1548-7091", 
          "1548-7105"
        ], 
        "name": "Nature Methods", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "keywords": [
      "protein-protein interaction mapping", 
      "yeast deletion collection", 
      "two-hybrid array", 
      "protein-small molecule interactions", 
      "deletion collection", 
      "interaction mapping", 
      "high-coverage data", 
      "prey profiles", 
      "systems biology", 
      "proteome microarray", 
      "network elucidation", 
      "probe protein", 
      "N pools", 
      "library approach", 
      "bait", 
      "molecule interactions", 
      "N experiment", 
      "recent advances", 
      "biology", 
      "large-scale data sets", 
      "protein", 
      "microarray", 
      "elucidation", 
      "interaction", 
      "tags", 
      "pool", 
      "wide range", 
      "major challenge", 
      "library", 
      "replicates", 
      "profile", 
      "strategies", 
      "generation", 
      "mapping", 
      "partners", 
      "fundamental requirement", 
      "data sets", 
      "advances", 
      "experiments", 
      "screening", 
      "array", 
      "collection", 
      "better coverage", 
      "efforts", 
      "deconvolution", 
      "data", 
      "range", 
      "set", 
      "requirements", 
      "approach", 
      "challenges", 
      "coverage", 
      "array design", 
      "design"
    ], 
    "name": "A pooling-deconvolution strategy for biological network elucidation", 
    "pagination": "183-189", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038047527"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nmeth859"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16489335"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nmeth859", 
      "https://app.dimensions.ai/details/publication/pub.1038047527"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:51", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_424.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/nmeth859"
  }
]
 

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.10.1038/nmeth859'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmeth859'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth859'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth859'


 

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

251 TRIPLES      21 PREDICATES      99 URIs      79 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nmeth859 schema:about N42187796e46048ddbeef10e7977193df
2 N83a91685239a4038ba658940f428bf61
3 N985de188a06e4102a26d884a2a86177f
4 N986ae2863cc04e6e8dcf7181c0469713
5 N9daeedf4ab694b0e84c9f79a90b01087
6 Nc30bfe5be1ee44fb8fa7aa13c7d4227e
7 Nc5589380fb8744bab74ffa7bbef29dde
8 Nf44fdd5d627e4cb8b03cb5cb0f54c464
9 anzsrc-for:06
10 anzsrc-for:0601
11 schema:author N8f049befd90e4eefb1022be5ce6c6ced
12 schema:citation sg:pub.10.1007/978-1-4615-0227-2
13 sg:pub.10.1007/s004380100455
14 sg:pub.10.1038/35001009
15 sg:pub.10.1038/35036627
16 sg:pub.10.1038/35075138
17 sg:pub.10.1038/415141a
18 sg:pub.10.1038/415180a
19 sg:pub.10.1038/nature00935
20 sg:pub.10.1038/nature01512
21 sg:pub.10.1038/nature03239
22 sg:pub.10.1038/nature04209
23 sg:pub.10.1038/nbt910
24 schema:datePublished 2006-02-17
25 schema:datePublishedReg 2006-02-17
26 schema:description The generation of large-scale data sets is a fundamental requirement of systems biology. But despite recent advances, generation of such high-coverage data remains a major challenge. We developed a pooling-deconvolution strategy that can dramatically decrease the effort required. This strategy, pooling with imaginary tags followed by deconvolution (PI-deconvolution), allows the screening of 2n probe proteins (baits) in 2 × n pools, with n replicates for each bait. Deconvolution of baits with their binding partners (preys) can be achieved by reading the prey's profile from the 2 × n experiments. We validated this strategy for protein-protein interaction mapping using both proteome microarrays and a yeast two-hybrid array, demonstrating that PI-deconvolution can be used to identify interactions accurately with fewer experiments and better coverage. We also show that PI-deconvolution can be used to identify protein-small molecule interactions inferred from profiling the yeast deletion collection. PI-deconvolution should be applicable to a wide range of library-against-library approaches and can also be used to optimize array designs.
27 schema:genre article
28 schema:isAccessibleForFree true
29 schema:isPartOf N1822501abad64bbe84677f901bad22e3
30 N9d773147bf45414187100d9f840e218d
31 sg:journal.1033763
32 schema:keywords N experiment
33 N pools
34 advances
35 approach
36 array
37 array design
38 bait
39 better coverage
40 biology
41 challenges
42 collection
43 coverage
44 data
45 data sets
46 deconvolution
47 deletion collection
48 design
49 efforts
50 elucidation
51 experiments
52 fundamental requirement
53 generation
54 high-coverage data
55 interaction
56 interaction mapping
57 large-scale data sets
58 library
59 library approach
60 major challenge
61 mapping
62 microarray
63 molecule interactions
64 network elucidation
65 partners
66 pool
67 prey profiles
68 probe protein
69 profile
70 protein
71 protein-protein interaction mapping
72 protein-small molecule interactions
73 proteome microarray
74 range
75 recent advances
76 replicates
77 requirements
78 screening
79 set
80 strategies
81 systems biology
82 tags
83 two-hybrid array
84 wide range
85 yeast deletion collection
86 schema:name A pooling-deconvolution strategy for biological network elucidation
87 schema:pagination 183-189
88 schema:productId N1662b8ced80a4dd796dc88389a8632f2
89 N2fa83e8bb9024ee2968a5c3a0979a0d9
90 N5a09263f8e8046f78a741601fe8f1181
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038047527
92 https://doi.org/10.1038/nmeth859
93 schema:sdDatePublished 2022-11-24T20:51
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher N9b56c51ee7a2484f8abcb902144e0d1a
96 schema:url https://doi.org/10.1038/nmeth859
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N10ed19fcfb0e48ab845f77bfce3a1e40 rdf:first sg:person.014624417057.73
101 rdf:rest Ncb7a7b7ccf754a65ae8bde9f52cf64cc
102 N1662b8ced80a4dd796dc88389a8632f2 schema:name doi
103 schema:value 10.1038/nmeth859
104 rdf:type schema:PropertyValue
105 N1822501abad64bbe84677f901bad22e3 schema:issueNumber 3
106 rdf:type schema:PublicationIssue
107 N2fa83e8bb9024ee2968a5c3a0979a0d9 schema:name pubmed_id
108 schema:value 16489335
109 rdf:type schema:PropertyValue
110 N42187796e46048ddbeef10e7977193df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Systems Biology
112 rdf:type schema:DefinedTerm
113 N5a09263f8e8046f78a741601fe8f1181 schema:name dimensions_id
114 schema:value pub.1038047527
115 rdf:type schema:PropertyValue
116 N6561ab9651be42699f97609fede1b4b0 rdf:first sg:person.0650331760.91
117 rdf:rest N10ed19fcfb0e48ab845f77bfce3a1e40
118 N83a91685239a4038ba658940f428bf61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Two-Hybrid System Techniques
120 rdf:type schema:DefinedTerm
121 N8f049befd90e4eefb1022be5ce6c6ced rdf:first sg:person.0700534633.54
122 rdf:rest Ncee11182d24a460cbb47d573da2cc659
123 N985de188a06e4102a26d884a2a86177f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Drug Resistance
125 rdf:type schema:DefinedTerm
126 N986ae2863cc04e6e8dcf7181c0469713 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Image Processing, Computer-Assisted
128 rdf:type schema:DefinedTerm
129 N9b56c51ee7a2484f8abcb902144e0d1a schema:name Springer Nature - SN SciGraph project
130 rdf:type schema:Organization
131 N9d773147bf45414187100d9f840e218d schema:volumeNumber 3
132 rdf:type schema:PublicationVolume
133 N9daeedf4ab694b0e84c9f79a90b01087 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Protein Array Analysis
135 rdf:type schema:DefinedTerm
136 Nc30bfe5be1ee44fb8fa7aa13c7d4227e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Computational Biology
138 rdf:type schema:DefinedTerm
139 Nc5589380fb8744bab74ffa7bbef29dde schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Proteins
141 rdf:type schema:DefinedTerm
142 Ncb7a7b7ccf754a65ae8bde9f52cf64cc rdf:first sg:person.01310021406.11
143 rdf:rest rdf:nil
144 Ncee11182d24a460cbb47d573da2cc659 rdf:first sg:person.01054170672.75
145 rdf:rest Nd7c1223b33ae48a1a4615381403c5da2
146 Nd7c1223b33ae48a1a4615381403c5da2 rdf:first sg:person.01027032460.04
147 rdf:rest Ne2b2672d3a0a44158cbda49ee86056d7
148 Ne2b2672d3a0a44158cbda49ee86056d7 rdf:first sg:person.0716032413.39
149 rdf:rest N6561ab9651be42699f97609fede1b4b0
150 Nf44fdd5d627e4cb8b03cb5cb0f54c464 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Sensitivity and Specificity
152 rdf:type schema:DefinedTerm
153 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
154 schema:name Biological Sciences
155 rdf:type schema:DefinedTerm
156 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
157 schema:name Biochemistry and Cell Biology
158 rdf:type schema:DefinedTerm
159 sg:grant.2439911 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth859
160 rdf:type schema:MonetaryGrant
161 sg:grant.2613349 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth859
162 rdf:type schema:MonetaryGrant
163 sg:journal.1033763 schema:issn 1548-7091
164 1548-7105
165 schema:name Nature Methods
166 schema:publisher Springer Nature
167 rdf:type schema:Periodical
168 sg:person.01027032460.04 schema:affiliation grid-institutes:None
169 schema:familyName Michaud
170 schema:givenName Gregory A
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027032460.04
172 rdf:type schema:Person
173 sg:person.01054170672.75 schema:affiliation grid-institutes:grid.169077.e
174 schema:familyName Hazbun
175 schema:givenName Tony
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054170672.75
177 rdf:type schema:Person
178 sg:person.01310021406.11 schema:affiliation grid-institutes:grid.19006.3e
179 schema:familyName Huang
180 schema:givenName Jing
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310021406.11
182 rdf:type schema:Person
183 sg:person.014624417057.73 schema:affiliation grid-institutes:grid.34477.33
184 schema:familyName Fields
185 schema:givenName Stanley
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014624417057.73
187 rdf:type schema:Person
188 sg:person.0650331760.91 schema:affiliation grid-institutes:None
189 schema:familyName Predki
190 schema:givenName Paul F
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650331760.91
192 rdf:type schema:Person
193 sg:person.0700534633.54 schema:affiliation grid-institutes:grid.19006.3e
194 schema:familyName Jin
195 schema:givenName Fulai
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700534633.54
197 rdf:type schema:Person
198 sg:person.0716032413.39 schema:affiliation grid-institutes:None
199 schema:familyName Salcius
200 schema:givenName Michael
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716032413.39
202 rdf:type schema:Person
203 sg:pub.10.1007/978-1-4615-0227-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033228527
204 https://doi.org/10.1007/978-1-4615-0227-2
205 rdf:type schema:CreativeWork
206 sg:pub.10.1007/s004380100455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043066677
207 https://doi.org/10.1007/s004380100455
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/35001009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035773549
210 https://doi.org/10.1038/35001009
211 rdf:type schema:CreativeWork
212 sg:pub.10.1038/35036627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051510804
213 https://doi.org/10.1038/35036627
214 rdf:type schema:CreativeWork
215 sg:pub.10.1038/35075138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038990326
216 https://doi.org/10.1038/35075138
217 rdf:type schema:CreativeWork
218 sg:pub.10.1038/415141a schema:sameAs https://app.dimensions.ai/details/publication/pub.1001484556
219 https://doi.org/10.1038/415141a
220 rdf:type schema:CreativeWork
221 sg:pub.10.1038/415180a schema:sameAs https://app.dimensions.ai/details/publication/pub.1005267371
222 https://doi.org/10.1038/415180a
223 rdf:type schema:CreativeWork
224 sg:pub.10.1038/nature00935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015995329
225 https://doi.org/10.1038/nature00935
226 rdf:type schema:CreativeWork
227 sg:pub.10.1038/nature01512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052020554
228 https://doi.org/10.1038/nature01512
229 rdf:type schema:CreativeWork
230 sg:pub.10.1038/nature03239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008948873
231 https://doi.org/10.1038/nature03239
232 rdf:type schema:CreativeWork
233 sg:pub.10.1038/nature04209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006733745
234 https://doi.org/10.1038/nature04209
235 rdf:type schema:CreativeWork
236 sg:pub.10.1038/nbt910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016514671
237 https://doi.org/10.1038/nbt910
238 rdf:type schema:CreativeWork
239 grid-institutes:None schema:alternateName Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA
240 schema:name Protein Microarray Center, Invitrogen Life Technologies, 688 East Main Street, 06405, Branford, Connecticut, USA
241 rdf:type schema:Organization
242 grid-institutes:grid.169077.e schema:alternateName Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, 47907, West Lafayette, Indiana, USA
243 schema:name Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, 47907, West Lafayette, Indiana, USA
244 Departments of Genome Sciences and Medicine, Howard Hughes Medical Institute (HHMI), University of Washington, Box 357730, 98195, Seattle, Washington, USA
245 rdf:type schema:Organization
246 grid-institutes:grid.19006.3e schema:alternateName Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, 90095, Los Angeles, California, USA
247 schema:name Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, and the Molecular Biology Institute, University of California, 90095, Los Angeles, California, USA
248 rdf:type schema:Organization
249 grid-institutes:grid.34477.33 schema:alternateName Departments of Genome Sciences and Medicine, Howard Hughes Medical Institute (HHMI), University of Washington, Box 357730, 98195, Seattle, Washington, USA
250 schema:name Departments of Genome Sciences and Medicine, Howard Hughes Medical Institute (HHMI), University of Washington, Box 357730, 98195, Seattle, Washington, USA
251 rdf:type schema:Organization
 




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


...