Using RSAT to scan genome sequences for transcription factor binding sites and cis-regulatory modules View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-09-18

AUTHORS

Jean-Valery Turatsinze, Morgane Thomas-Chollier, Matthieu Defrance, Jacques van Helden

ABSTRACT

This protocol shows how to detect putative cis-regulatory elements and regions enriched in such elements with the regulatory sequence analysis tools (RSAT) web server (http://rsat.ulb.ac.be/rsat/). The approach applies to known transcription factors, whose binding specificity is represented by position-specific scoring matrices, using the program matrix-scan. The detection of individual binding sites is known to return many false predictions. However, results can be strongly improved by estimating P value, and by searching for combinations of sites (homotypic and heterotypic models). We illustrate the detection of sites and enriched regions with a study case, the upstream sequence of the Drosophila melanogaster gene even-skipped. This protocol is also tested on random control sequences to evaluate the reliability of the predictions. Each task requires a few minutes of computation time on the server. The complete protocol can be executed in about one hour. More... »

PAGES

1578-1588

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nprot.2008.97

DOI

http://dx.doi.org/10.1038/nprot.2008.97

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006340595

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18802439


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Binding Sites", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computational Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Conserved Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regulatory Elements, Transcriptional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcription Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.4989.c", 
          "name": [
            "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Turatsinze", 
        "givenName": "Jean-Valery", 
        "id": "sg:person.0605251465.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605251465.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.4989.c", 
          "name": [
            "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thomas-Chollier", 
        "givenName": "Morgane", 
        "id": "sg:person.01020671104.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020671104.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.4989.c", 
          "name": [
            "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Defrance", 
        "givenName": "Matthieu", 
        "id": "sg:person.01074617571.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074617571.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium", 
          "id": "http://www.grid.ac/institutes/grid.4989.c", 
          "name": [
            "Laboratoire de Bioinformatique des G\u00e9nomes et des R\u00e9seaux (BiGRe), Universit\u00e9 Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Helden", 
        "givenName": "Jacques", 
        "id": "sg:person.0626672543.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672543.46"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrg1315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029123553", 
          "https://doi.org/10.1038/nrg1315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2008.98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011667398", 
          "https://doi.org/10.1038/nprot.2008.98"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2004-5-9-r61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006276884", 
          "https://doi.org/10.1186/gb-2004-5-9-r61"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2008.100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007904538", 
          "https://doi.org/10.1038/nprot.2008.100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12033-007-9019-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006543114", 
          "https://doi.org/10.1007/s12033-007-9019-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052601820", 
          "https://doi.org/10.1038/nature01763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2008.99", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051387433", 
          "https://doi.org/10.1038/nprot.2008.99"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-09-18", 
    "datePublishedReg": "2008-09-18", 
    "description": "This protocol shows how to detect putative cis-regulatory elements and regions enriched in such elements with the regulatory sequence analysis tools (RSAT) web server (http://rsat.ulb.ac.be/rsat/). The approach applies to known transcription factors, whose binding specificity is represented by position-specific scoring matrices, using the program matrix-scan. The detection of individual binding sites is known to return many false predictions. However, results can be strongly improved by estimating P value, and by searching for combinations of sites (homotypic and heterotypic models). We illustrate the detection of sites and enriched regions with a study case, the upstream sequence of the Drosophila melanogaster gene even-skipped. This protocol is also tested on random control sequences to evaluate the reliability of the predictions. Each task requires a few minutes of computation time on the server. The complete protocol can be executed in about one hour.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/nprot.2008.97", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6770571", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1037502", 
        "issn": [
          "1754-2189", 
          "1750-2799"
        ], 
        "name": "Nature Protocols", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "10", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "keywords": [
      "random control sequences", 
      "computation time", 
      "control sequence", 
      "false predictions", 
      "prediction", 
      "study case", 
      "matrix", 
      "matrix scans", 
      "individual binding sites", 
      "such elements", 
      "scoring matrix", 
      "combinations of sites", 
      "server", 
      "approach", 
      "elements", 
      "position-specific scoring matrix", 
      "sequence", 
      "reliability", 
      "cases", 
      "region", 
      "module", 
      "web server", 
      "results", 
      "values", 
      "time", 
      "task", 
      "protocol", 
      "combination", 
      "cis-regulatory modules", 
      "detection", 
      "factors", 
      "complete protocol", 
      "sites", 
      "detection of sites", 
      "RSAT", 
      "minutes", 
      "hours", 
      "putative cis-regulatory elements", 
      "transcription factors", 
      "genome sequence", 
      "binding sites", 
      "cis-regulatory elements", 
      "Drosophila melanogaster gene", 
      "specificity", 
      "melanogaster gene", 
      "upstream sequences", 
      "genes", 
      "regulatory sequence analysis tools (RSAT) web server", 
      "sequence analysis tools (RSAT) web server", 
      "analysis tools (RSAT) web server", 
      "tools (RSAT) web server", 
      "program matrix-scan"
    ], 
    "name": "Using RSAT to scan genome sequences for transcription factor binding sites and cis-regulatory modules", 
    "pagination": "1578-1588", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006340595"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nprot.2008.97"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18802439"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nprot.2008.97", 
      "https://app.dimensions.ai/details/publication/pub.1006340595"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:18", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_468.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/nprot.2008.97"
  }
]
 

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/nprot.2008.97'

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/nprot.2008.97'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nprot.2008.97'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nprot.2008.97'


 

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

201 TRIPLES      22 PREDICATES      94 URIs      79 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nprot.2008.97 schema:about N305a61ed8c8d404aa97ed16f14af0ac5
2 N353f4156f7444b128cab390b1cb1111d
3 N43d8a38b83fb41b599f2df1d296d0546
4 N46305923b9b64683974e17e291861888
5 N5801ea6ee33d41a18291780557779951
6 N6d322d7a3dee4f80a1886a2137fe4b76
7 Nb516d797a79146668f743d3abc67d787
8 Ne54fbcff0d03412796dde972e426d439
9 Nf6902e19a8e14b9db8f4a353396162f9
10 anzsrc-for:06
11 anzsrc-for:0604
12 schema:author N0a1c341e9b28426d901a43d88bc5edaf
13 schema:citation sg:pub.10.1007/s12033-007-9019-2
14 sg:pub.10.1038/nature01763
15 sg:pub.10.1038/nprot.2008.100
16 sg:pub.10.1038/nprot.2008.98
17 sg:pub.10.1038/nprot.2008.99
18 sg:pub.10.1038/nrg1315
19 sg:pub.10.1186/gb-2004-5-9-r61
20 schema:datePublished 2008-09-18
21 schema:datePublishedReg 2008-09-18
22 schema:description This protocol shows how to detect putative cis-regulatory elements and regions enriched in such elements with the regulatory sequence analysis tools (RSAT) web server (http://rsat.ulb.ac.be/rsat/). The approach applies to known transcription factors, whose binding specificity is represented by position-specific scoring matrices, using the program matrix-scan. The detection of individual binding sites is known to return many false predictions. However, results can be strongly improved by estimating P value, and by searching for combinations of sites (homotypic and heterotypic models). We illustrate the detection of sites and enriched regions with a study case, the upstream sequence of the Drosophila melanogaster gene even-skipped. This protocol is also tested on random control sequences to evaluate the reliability of the predictions. Each task requires a few minutes of computation time on the server. The complete protocol can be executed in about one hour.
23 schema:genre article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N82d6f866a85b42809b16cbedec2c65a1
27 Nc37c496be7dd43a68b81ec9a2a0e78f9
28 sg:journal.1037502
29 schema:keywords Drosophila melanogaster gene
30 RSAT
31 analysis tools (RSAT) web server
32 approach
33 binding sites
34 cases
35 cis-regulatory elements
36 cis-regulatory modules
37 combination
38 combinations of sites
39 complete protocol
40 computation time
41 control sequence
42 detection
43 detection of sites
44 elements
45 factors
46 false predictions
47 genes
48 genome sequence
49 hours
50 individual binding sites
51 matrix
52 matrix scans
53 melanogaster gene
54 minutes
55 module
56 position-specific scoring matrix
57 prediction
58 program matrix-scan
59 protocol
60 putative cis-regulatory elements
61 random control sequences
62 region
63 regulatory sequence analysis tools (RSAT) web server
64 reliability
65 results
66 scoring matrix
67 sequence
68 sequence analysis tools (RSAT) web server
69 server
70 sites
71 specificity
72 study case
73 such elements
74 task
75 time
76 tools (RSAT) web server
77 transcription factors
78 upstream sequences
79 values
80 web server
81 schema:name Using RSAT to scan genome sequences for transcription factor binding sites and cis-regulatory modules
82 schema:pagination 1578-1588
83 schema:productId N8439a66b361a42f1a6c61fdac1c109b5
84 Nc9000e1d84814de299308773ad61fd40
85 Ne715018692b948bdaaee25390205e6b9
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006340595
87 https://doi.org/10.1038/nprot.2008.97
88 schema:sdDatePublished 2022-01-01T18:18
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher Na10aef02da46413bb4dade33f4d405f6
91 schema:url https://doi.org/10.1038/nprot.2008.97
92 sgo:license sg:explorer/license/
93 sgo:sdDataset articles
94 rdf:type schema:ScholarlyArticle
95 N0a1c341e9b28426d901a43d88bc5edaf rdf:first sg:person.0605251465.55
96 rdf:rest N8a102bf883b84e4fb5ccf3f50c4d78c9
97 N305a61ed8c8d404aa97ed16f14af0ac5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Transcription Factors
99 rdf:type schema:DefinedTerm
100 N353f4156f7444b128cab390b1cb1111d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Software
102 rdf:type schema:DefinedTerm
103 N43d8a38b83fb41b599f2df1d296d0546 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Conserved Sequence
105 rdf:type schema:DefinedTerm
106 N46305923b9b64683974e17e291861888 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Computational Biology
108 rdf:type schema:DefinedTerm
109 N5801ea6ee33d41a18291780557779951 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Oligonucleotides
111 rdf:type schema:DefinedTerm
112 N6d322d7a3dee4f80a1886a2137fe4b76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Genomics
114 rdf:type schema:DefinedTerm
115 N778fbdd28b9d4da7a3536eef235d7b10 rdf:first sg:person.01074617571.21
116 rdf:rest Nd189468b07be4d57879d76474cac2725
117 N82d6f866a85b42809b16cbedec2c65a1 schema:issueNumber 10
118 rdf:type schema:PublicationIssue
119 N8439a66b361a42f1a6c61fdac1c109b5 schema:name pubmed_id
120 schema:value 18802439
121 rdf:type schema:PropertyValue
122 N8a102bf883b84e4fb5ccf3f50c4d78c9 rdf:first sg:person.01020671104.76
123 rdf:rest N778fbdd28b9d4da7a3536eef235d7b10
124 Na10aef02da46413bb4dade33f4d405f6 schema:name Springer Nature - SN SciGraph project
125 rdf:type schema:Organization
126 Nb516d797a79146668f743d3abc67d787 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Binding Sites
128 rdf:type schema:DefinedTerm
129 Nc37c496be7dd43a68b81ec9a2a0e78f9 schema:volumeNumber 3
130 rdf:type schema:PublicationVolume
131 Nc9000e1d84814de299308773ad61fd40 schema:name dimensions_id
132 schema:value pub.1006340595
133 rdf:type schema:PropertyValue
134 Nd189468b07be4d57879d76474cac2725 rdf:first sg:person.0626672543.46
135 rdf:rest rdf:nil
136 Ne54fbcff0d03412796dde972e426d439 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Regulatory Elements, Transcriptional
138 rdf:type schema:DefinedTerm
139 Ne715018692b948bdaaee25390205e6b9 schema:name doi
140 schema:value 10.1038/nprot.2008.97
141 rdf:type schema:PropertyValue
142 Nf6902e19a8e14b9db8f4a353396162f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Genetic Techniques
144 rdf:type schema:DefinedTerm
145 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
146 schema:name Biological Sciences
147 rdf:type schema:DefinedTerm
148 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
149 schema:name Genetics
150 rdf:type schema:DefinedTerm
151 sg:grant.6770571 http://pending.schema.org/fundedItem sg:pub.10.1038/nprot.2008.97
152 rdf:type schema:MonetaryGrant
153 sg:journal.1037502 schema:issn 1750-2799
154 1754-2189
155 schema:name Nature Protocols
156 schema:publisher Springer Nature
157 rdf:type schema:Periodical
158 sg:person.01020671104.76 schema:affiliation grid-institutes:grid.4989.c
159 schema:familyName Thomas-Chollier
160 schema:givenName Morgane
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020671104.76
162 rdf:type schema:Person
163 sg:person.01074617571.21 schema:affiliation grid-institutes:grid.4989.c
164 schema:familyName Defrance
165 schema:givenName Matthieu
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074617571.21
167 rdf:type schema:Person
168 sg:person.0605251465.55 schema:affiliation grid-institutes:grid.4989.c
169 schema:familyName Turatsinze
170 schema:givenName Jean-Valery
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605251465.55
172 rdf:type schema:Person
173 sg:person.0626672543.46 schema:affiliation grid-institutes:grid.4989.c
174 schema:familyName van Helden
175 schema:givenName Jacques
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672543.46
177 rdf:type schema:Person
178 sg:pub.10.1007/s12033-007-9019-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006543114
179 https://doi.org/10.1007/s12033-007-9019-2
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/nature01763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052601820
182 https://doi.org/10.1038/nature01763
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/nprot.2008.100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007904538
185 https://doi.org/10.1038/nprot.2008.100
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nprot.2008.98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011667398
188 https://doi.org/10.1038/nprot.2008.98
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/nprot.2008.99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051387433
191 https://doi.org/10.1038/nprot.2008.99
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/nrg1315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029123553
194 https://doi.org/10.1038/nrg1315
195 rdf:type schema:CreativeWork
196 sg:pub.10.1186/gb-2004-5-9-r61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006276884
197 https://doi.org/10.1186/gb-2004-5-9-r61
198 rdf:type schema:CreativeWork
199 grid-institutes:grid.4989.c schema:alternateName Laboratoire de Bioinformatique des Génomes et des Réseaux (BiGRe), Université Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium
200 schema:name Laboratoire de Bioinformatique des Génomes et des Réseaux (BiGRe), Université Libre de Bruxelles CP 263, Campus Plaine, Boulevard du Triomphe, B-1050, Bruxelles, Belgium
201 rdf:type schema:Organization
 




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


...