Microarray Applications in Microbial Ecology Research View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-08-08

AUTHORS

T. J. Gentry, G. S. Wickham, C. W. Schadt, Z. He, J. Zhou

ABSTRACT

Microarray technology has the unparalleled potential to simultaneously determine the dynamics and/or activities of most, if not all, of the microbial populations in complex environments such as soils and sediments. Researchers have developed several types of arrays that characterize the microbial populations in these samples based on their phylogenetic relatedness or functional genomic content. Several recent studies have used these microarrays to investigate ecological issues; however, most have only analyzed a limited number of samples with relatively few experiments utilizing the full high-throughput potential of microarray analysis. This is due in part to the unique analytical challenges that these samples present with regard to sensitivity, specificity, quantitation, and data analysis. This review discusses specific applications of microarrays to microbial ecology research along with some of the latest studies addressing the difficulties encountered during analysis of complex microbial communities within environmental samples. With continued development, microarray technology may ultimately achieve its potential for comprehensive, high-throughput characterization of microbial populations in near real time. More... »

PAGES

159-175

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00248-006-9072-6

DOI

http://dx.doi.org/10.1007/s00248-006-9072-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005727707

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16897303


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/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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/2008/0502", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Science and Management", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacteria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biodiversity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fungi", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Markers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Ribosomal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Soil Microbiology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Soil & Crop Sciences, Texas A&M University, 77843, College Station, TX, USA", 
          "id": "http://www.grid.ac/institutes/grid.264756.4", 
          "name": [
            "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA", 
            "Department of Soil & Crop Sciences, Texas A&M University, 77843, College Station, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gentry", 
        "givenName": "T. J.", 
        "id": "sg:person.01342110401.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342110401.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA", 
          "id": "http://www.grid.ac/institutes/grid.135519.a", 
          "name": [
            "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wickham", 
        "givenName": "G. S.", 
        "id": "sg:person.01027535126.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027535126.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA", 
          "id": "http://www.grid.ac/institutes/grid.135519.a", 
          "name": [
            "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schadt", 
        "givenName": "C. W.", 
        "id": "sg:person.0736522505.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736522505.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Environmental Genomics (IEG), Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Blvd., 73019, Norman, OK, USA", 
          "id": "http://www.grid.ac/institutes/grid.266900.b", 
          "name": [
            "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA", 
            "Institute for Environmental Genomics (IEG), Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Blvd., 73019, Norman, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Z.", 
        "id": "sg:person.01334554714.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334554714.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Environmental Genomics (IEG), Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Blvd., 73019, Norman, OK, USA", 
          "id": "http://www.grid.ac/institutes/grid.266900.b", 
          "name": [
            "Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA", 
            "Institute for Environmental Genomics (IEG), Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Blvd., 73019, Norman, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "J.", 
        "id": "sg:person.01171352100.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171352100.63"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2105-3-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017682287", 
          "https://doi.org/10.1186/1471-2105-3-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/86730", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013279521", 
          "https://doi.org/10.1038/86730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature02340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023089166", 
          "https://doi.org/10.1038/nature02340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2003-4-2-r9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009465493", 
          "https://doi.org/10.1186/gb-2003-4-2-r9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-6-31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001801731", 
          "https://doi.org/10.1186/1471-2164-6-31"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35001054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052238258", 
          "https://doi.org/10.1038/35001054"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-08-08", 
    "datePublishedReg": "2006-08-08", 
    "description": "Microarray technology has the unparalleled potential to simultaneously determine the dynamics and/or activities of most, if not all, of the microbial populations in complex environments such as soils and sediments. Researchers have developed several types of arrays that characterize the microbial populations in these samples based on their phylogenetic relatedness or functional genomic content. Several recent studies have used these microarrays to investigate ecological issues; however, most have only analyzed a limited number of samples with relatively few experiments utilizing the full high-throughput potential of microarray analysis. This is due in part to the unique analytical challenges that these samples present with regard to sensitivity, specificity, quantitation, and data analysis. This review discusses specific applications of microarrays to microbial ecology research along with some of the latest studies addressing the difficulties encountered during analysis of complex microbial communities within environmental samples. With continued development, microarray technology may ultimately achieve its potential for comprehensive, high-throughput characterization of microbial populations in near real time.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00248-006-9072-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1081458", 
        "issn": [
          "0095-3628", 
          "1432-184X"
        ], 
        "name": "Microbial Ecology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "52"
      }
    ], 
    "keywords": [
      "microbial ecology research", 
      "microbial populations", 
      "ecology research", 
      "microarray technology", 
      "complex microbial communities", 
      "microbial communities", 
      "ecological issues", 
      "high-throughput potential", 
      "genomic content", 
      "high-throughput characterization", 
      "unique analytical challenges", 
      "microarray analysis", 
      "environmental samples", 
      "unparalleled potential", 
      "microarrays", 
      "soil", 
      "population", 
      "Recent studies", 
      "analytical challenges", 
      "community", 
      "microarray applications", 
      "sediments", 
      "potential", 
      "dynamics", 
      "limited number", 
      "samples", 
      "environment", 
      "complex environments", 
      "content", 
      "latest studies", 
      "specificity", 
      "types of arrays", 
      "analysis", 
      "research", 
      "characterization", 
      "activity", 
      "types", 
      "study", 
      "development", 
      "applications", 
      "part", 
      "experiments", 
      "challenges", 
      "data analysis", 
      "array", 
      "issues", 
      "regard", 
      "number", 
      "quantitation", 
      "review", 
      "time", 
      "sensitivity", 
      "researchers", 
      "technology", 
      "real time", 
      "difficulties", 
      "specific applications", 
      "functional genomic content", 
      "full high-throughput potential"
    ], 
    "name": "Microarray Applications in Microbial Ecology Research", 
    "pagination": "159-175", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005727707"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00248-006-9072-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16897303"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00248-006-9072-6", 
      "https://app.dimensions.ai/details/publication/pub.1005727707"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:18", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_428.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00248-006-9072-6"
  }
]
 

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.10.1007/s00248-006-9072-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00248-006-9072-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00248-006-9072-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00248-006-9072-6'


 

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

225 TRIPLES      22 PREDICATES      102 URIs      86 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00248-006-9072-6 schema:about N0a165f6bfe6d40109e7880cea6680810
2 N52056ad6c11b4c0f8dc308a02b3e0c19
3 N921fabaf72624a1a9b1c68bb40697510
4 N9f583b67d45d4126b32e9f88a7c264ab
5 Na6220ca751174c41a3e6e75a2543d2d2
6 Na921a99c9078417cb256b22f17bfab26
7 Naea7a036ba5f4446a1b7b4b03e72c71c
8 Nc9eb24d910534ef691393b5754aad659
9 Nd2a47f8c7a0646eea1cc0f8f8b06c3b0
10 anzsrc-for:05
11 anzsrc-for:0502
12 anzsrc-for:06
13 anzsrc-for:0605
14 schema:author Ne40fbfca887e4b6ea995c72c5340bce1
15 schema:citation sg:pub.10.1038/35001054
16 sg:pub.10.1038/86730
17 sg:pub.10.1038/nature02340
18 sg:pub.10.1186/1471-2105-3-2
19 sg:pub.10.1186/1471-2164-6-31
20 sg:pub.10.1186/gb-2003-4-2-r9
21 schema:datePublished 2006-08-08
22 schema:datePublishedReg 2006-08-08
23 schema:description Microarray technology has the unparalleled potential to simultaneously determine the dynamics and/or activities of most, if not all, of the microbial populations in complex environments such as soils and sediments. Researchers have developed several types of arrays that characterize the microbial populations in these samples based on their phylogenetic relatedness or functional genomic content. Several recent studies have used these microarrays to investigate ecological issues; however, most have only analyzed a limited number of samples with relatively few experiments utilizing the full high-throughput potential of microarray analysis. This is due in part to the unique analytical challenges that these samples present with regard to sensitivity, specificity, quantitation, and data analysis. This review discusses specific applications of microarrays to microbial ecology research along with some of the latest studies addressing the difficulties encountered during analysis of complex microbial communities within environmental samples. With continued development, microarray technology may ultimately achieve its potential for comprehensive, high-throughput characterization of microbial populations in near real time.
24 schema:genre article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf N045242d8ab0447b3ae429f89f2ec3139
28 Ne96e44def465482782ae7ac22888856a
29 sg:journal.1081458
30 schema:keywords Recent studies
31 activity
32 analysis
33 analytical challenges
34 applications
35 array
36 challenges
37 characterization
38 community
39 complex environments
40 complex microbial communities
41 content
42 data analysis
43 development
44 difficulties
45 dynamics
46 ecological issues
47 ecology research
48 environment
49 environmental samples
50 experiments
51 full high-throughput potential
52 functional genomic content
53 genomic content
54 high-throughput characterization
55 high-throughput potential
56 issues
57 latest studies
58 limited number
59 microarray analysis
60 microarray applications
61 microarray technology
62 microarrays
63 microbial communities
64 microbial ecology research
65 microbial populations
66 number
67 part
68 population
69 potential
70 quantitation
71 real time
72 regard
73 research
74 researchers
75 review
76 samples
77 sediments
78 sensitivity
79 soil
80 specific applications
81 specificity
82 study
83 technology
84 time
85 types
86 types of arrays
87 unique analytical challenges
88 unparalleled potential
89 schema:name Microarray Applications in Microbial Ecology Research
90 schema:pagination 159-175
91 schema:productId N822c5fffe3984e6096d691bf07310d69
92 Nb043994984464b36a52b8e60046e3f1a
93 Nfe455c5faf8e4e18b46a65d3f0ba670c
94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005727707
95 https://doi.org/10.1007/s00248-006-9072-6
96 schema:sdDatePublished 2021-12-01T19:18
97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
98 schema:sdPublisher N6afe6553613f4b8d9e6eb5cb6bf43855
99 schema:url https://doi.org/10.1007/s00248-006-9072-6
100 sgo:license sg:explorer/license/
101 sgo:sdDataset articles
102 rdf:type schema:ScholarlyArticle
103 N045242d8ab0447b3ae429f89f2ec3139 schema:issueNumber 2
104 rdf:type schema:PublicationIssue
105 N0a165f6bfe6d40109e7880cea6680810 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name RNA, Ribosomal
107 rdf:type schema:DefinedTerm
108 N134fe9cb68b44cc59432a6b8b2d36a6b rdf:first sg:person.01171352100.63
109 rdf:rest rdf:nil
110 N45c94b0a3ef544a7b36ef67b217e5257 rdf:first sg:person.01334554714.72
111 rdf:rest N134fe9cb68b44cc59432a6b8b2d36a6b
112 N52056ad6c11b4c0f8dc308a02b3e0c19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Ecology
114 rdf:type schema:DefinedTerm
115 N6afe6553613f4b8d9e6eb5cb6bf43855 schema:name Springer Nature - SN SciGraph project
116 rdf:type schema:Organization
117 N822c5fffe3984e6096d691bf07310d69 schema:name pubmed_id
118 schema:value 16897303
119 rdf:type schema:PropertyValue
120 N8d9882135bed4d4a8e9dda4bc6c98778 rdf:first sg:person.0736522505.71
121 rdf:rest N45c94b0a3ef544a7b36ef67b217e5257
122 N921fabaf72624a1a9b1c68bb40697510 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Phylogeny
124 rdf:type schema:DefinedTerm
125 N9f583b67d45d4126b32e9f88a7c264ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Genetic Markers
127 rdf:type schema:DefinedTerm
128 Na6220ca751174c41a3e6e75a2543d2d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Bacteria
130 rdf:type schema:DefinedTerm
131 Na921a99c9078417cb256b22f17bfab26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Soil Microbiology
133 rdf:type schema:DefinedTerm
134 Naea7a036ba5f4446a1b7b4b03e72c71c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Fungi
136 rdf:type schema:DefinedTerm
137 Nb043994984464b36a52b8e60046e3f1a schema:name doi
138 schema:value 10.1007/s00248-006-9072-6
139 rdf:type schema:PropertyValue
140 Nc9eb24d910534ef691393b5754aad659 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Biodiversity
142 rdf:type schema:DefinedTerm
143 Nd2a47f8c7a0646eea1cc0f8f8b06c3b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Oligonucleotide Array Sequence Analysis
145 rdf:type schema:DefinedTerm
146 Ne40fbfca887e4b6ea995c72c5340bce1 rdf:first sg:person.01342110401.44
147 rdf:rest Nffd1f7e92ea54dbb8f923e7d9b8b1236
148 Ne96e44def465482782ae7ac22888856a schema:volumeNumber 52
149 rdf:type schema:PublicationVolume
150 Nfe455c5faf8e4e18b46a65d3f0ba670c schema:name dimensions_id
151 schema:value pub.1005727707
152 rdf:type schema:PropertyValue
153 Nffd1f7e92ea54dbb8f923e7d9b8b1236 rdf:first sg:person.01027535126.23
154 rdf:rest N8d9882135bed4d4a8e9dda4bc6c98778
155 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
156 schema:name Environmental Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
159 schema:name Environmental Science and Management
160 rdf:type schema:DefinedTerm
161 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
162 schema:name Biological Sciences
163 rdf:type schema:DefinedTerm
164 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
165 schema:name Microbiology
166 rdf:type schema:DefinedTerm
167 sg:journal.1081458 schema:issn 0095-3628
168 1432-184X
169 schema:name Microbial Ecology
170 schema:publisher Springer Nature
171 rdf:type schema:Periodical
172 sg:person.01027535126.23 schema:affiliation grid-institutes:grid.135519.a
173 schema:familyName Wickham
174 schema:givenName G. S.
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027535126.23
176 rdf:type schema:Person
177 sg:person.01171352100.63 schema:affiliation grid-institutes:grid.266900.b
178 schema:familyName Zhou
179 schema:givenName J.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171352100.63
181 rdf:type schema:Person
182 sg:person.01334554714.72 schema:affiliation grid-institutes:grid.266900.b
183 schema:familyName He
184 schema:givenName Z.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334554714.72
186 rdf:type schema:Person
187 sg:person.01342110401.44 schema:affiliation grid-institutes:grid.264756.4
188 schema:familyName Gentry
189 schema:givenName T. J.
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342110401.44
191 rdf:type schema:Person
192 sg:person.0736522505.71 schema:affiliation grid-institutes:grid.135519.a
193 schema:familyName Schadt
194 schema:givenName C. W.
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736522505.71
196 rdf:type schema:Person
197 sg:pub.10.1038/35001054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052238258
198 https://doi.org/10.1038/35001054
199 rdf:type schema:CreativeWork
200 sg:pub.10.1038/86730 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013279521
201 https://doi.org/10.1038/86730
202 rdf:type schema:CreativeWork
203 sg:pub.10.1038/nature02340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023089166
204 https://doi.org/10.1038/nature02340
205 rdf:type schema:CreativeWork
206 sg:pub.10.1186/1471-2105-3-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017682287
207 https://doi.org/10.1186/1471-2105-3-2
208 rdf:type schema:CreativeWork
209 sg:pub.10.1186/1471-2164-6-31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001801731
210 https://doi.org/10.1186/1471-2164-6-31
211 rdf:type schema:CreativeWork
212 sg:pub.10.1186/gb-2003-4-2-r9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009465493
213 https://doi.org/10.1186/gb-2003-4-2-r9
214 rdf:type schema:CreativeWork
215 grid-institutes:grid.135519.a schema:alternateName Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA
216 schema:name Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA
217 rdf:type schema:Organization
218 grid-institutes:grid.264756.4 schema:alternateName Department of Soil & Crop Sciences, Texas A&M University, 77843, College Station, TX, USA
219 schema:name Department of Soil & Crop Sciences, Texas A&M University, 77843, College Station, TX, USA
220 Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA
221 rdf:type schema:Organization
222 grid-institutes:grid.266900.b schema:alternateName Institute for Environmental Genomics (IEG), Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Blvd., 73019, Norman, OK, USA
223 schema:name Environmental Sciences Division, Oak Ridge National Laboratory, 37831, Oak Ridge, TN, USA
224 Institute for Environmental Genomics (IEG), Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Blvd., 73019, Norman, OK, USA
225 rdf:type schema:Organization
 




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


...