Reganor View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-09

AUTHORS

Burkhard Linke, Alice C. McHardy, Heiko Neuweger, Lutz Krause, Folker Meyer

ABSTRACT

With >1,000 prokaryotic genome sequencing projects ongoing or already finished, comprehensive comparative analysis of the gene content of these genomes has become viable. To allow for a meaningful comparative analysis, gene prediction of the various genomes should be as accurate as possible. It is clear that improving the state of genome annotation requires automated gene identification methods to cope with the influence of artifacts, such as genomic GC content. There is currently still room for improvement in the state of annotations. We present a web server and a database of high-quality gene predictions. The web server is a resource for gene identification in prokaryote genome sequences. It implements our previously described, accurate gene finding method REGANOR. We also provide novel gene predictions for 241 complete, or almost complete, prokaryotic genomes. We demonstrate how this resource can easily be utilised to identify promising candidates for currently missing genes from genome annotations with several examples. All data sets are available online. AVAILABILITY: The gene finding server is accessible via https://www.cebitec.uni-bielefeld.de/groups/brf/software/reganor/cgi-bin/reganor_upload.cgi. The server software is available with the GenDB genome annotation system (version 2.2.1 onwards) under the GNU general public license. The software can be downloaded from https://sourceforge.net/projects/gendb/. More information on installing GenDB and REGANOR and the system requirements can be found on the GenDB project page http://www.cebitec.uni-bielefeld.de/groups/brf/software/wiki/GenDBWiki/AdministratorDocumentation/GenDBInstallation More... »

PAGES

193-198

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.2165/00822942-200605030-00008

DOI

http://dx.doi.org/10.2165/00822942-200605030-00008

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037302188

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16922601


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosome Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Internet", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prokaryotic Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, DNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "User-Computer Interface", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Bielefeld University", 
          "id": "https://www.grid.ac/institutes/grid.7491.b", 
          "name": [
            "CeBiTec/BRF, Universit\u00e4t Bielefeld, D-33594, Bielefeld, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Linke", 
        "givenName": "Burkhard", 
        "id": "sg:person.0602011516.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602011516.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "IBM Research \u2013 Thomas J. Watson Research Center", 
          "id": "https://www.grid.ac/institutes/grid.481554.9", 
          "name": [
            "IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McHardy", 
        "givenName": "Alice C.", 
        "id": "sg:person.01041701425.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041701425.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bielefeld University", 
          "id": "https://www.grid.ac/institutes/grid.7491.b", 
          "name": [
            "CeBiTec/BRF, Universit\u00e4t Bielefeld, D-33594, Bielefeld, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Neuweger", 
        "givenName": "Heiko", 
        "id": "sg:person.01154133575.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154133575.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bielefeld University", 
          "id": "https://www.grid.ac/institutes/grid.7491.b", 
          "name": [
            "CeBiTec/BRF, Universit\u00e4t Bielefeld, D-33594, Bielefeld, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krause", 
        "givenName": "Lutz", 
        "id": "sg:person.01102546322.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102546322.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bielefeld University", 
          "id": "https://www.grid.ac/institutes/grid.7491.b", 
          "name": [
            "CeBiTec/BRF, Universit\u00e4t Bielefeld, D-33594, Bielefeld, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meyer", 
        "givenName": "Folker", 
        "id": "sg:person.0623154651.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623154651.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/29.12.2607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000907711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkg312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000961039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/26.12.2941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004653559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007323089", 
          "https://doi.org/10.1038/nature01582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007323089", 
          "https://doi.org/10.1038/nature01582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.22.4573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009684488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gki866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009961531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/27.23.4636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012730605"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-4-21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013695495", 
          "https://doi.org/10.1186/1471-2105-4-21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-4-21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013695495", 
          "https://doi.org/10.1186/1471-2105-4-21"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.17.3278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020167695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a026133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020243349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0409111102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024026168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1367-5931(03)00027-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025920571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1367-5931(03)00027-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025920571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1029496.1029525", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028726003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkf338", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035259893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.5.0955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041894290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mmbr.67.3.303-342.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044170804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044426221", 
          "https://doi.org/10.1038/nature01586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044426221", 
          "https://doi.org/10.1038/nature01586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046553886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkg590", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046604965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.17.3389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047265454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkg254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048748953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-5-23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049822056", 
          "https://doi.org/10.1186/1471-2105-5-23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-5-23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049822056", 
          "https://doi.org/10.1186/1471-2105-5-23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/153623103322246566", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059215047"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-09", 
    "datePublishedReg": "2006-09-01", 
    "description": "With >1,000 prokaryotic genome sequencing projects ongoing or already finished, comprehensive comparative analysis of the gene content of these genomes has become viable. To allow for a meaningful comparative analysis, gene prediction of the various genomes should be as accurate as possible. It is clear that improving the state of genome annotation requires automated gene identification methods to cope with the influence of artifacts, such as genomic GC content. There is currently still room for improvement in the state of annotations. We present a web server and a database of high-quality gene predictions. The web server is a resource for gene identification in prokaryote genome sequences. It implements our previously described, accurate gene finding method REGANOR. We also provide novel gene predictions for 241 complete, or almost complete, prokaryotic genomes. We demonstrate how this resource can easily be utilised to identify promising candidates for currently missing genes from genome annotations with several examples. All data sets are available online.\nAVAILABILITY: The gene finding server is accessible via https://www.cebitec.uni-bielefeld.de/groups/brf/software/reganor/cgi-bin/reganor_upload.cgi. The server software is available with the GenDB genome annotation system (version 2.2.1 onwards) under the GNU general public license. The software can be downloaded from https://sourceforge.net/projects/gendb/. More information on installing GenDB and REGANOR and the system requirements can be found on the GenDB project page http://www.cebitec.uni-bielefeld.de/groups/brf/software/wiki/GenDBWiki/AdministratorDocumentation/GenDBInstallation", 
    "genre": "research_article", 
    "id": "sg:pub.10.2165/00822942-200605030-00008", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3760706", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031174", 
        "issn": [
          "1175-5636", 
          "2230-603X"
        ], 
        "name": "Applied Bioinformatics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "REGANOR", 
    "pagination": "193-198", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b1b1eb286ffaeff1618c6ba45f52cd615cd97bbd5c247718ab038ce2ebe1c355"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16922601"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101150311"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.2165/00822942-200605030-00008"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037302188"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.2165/00822942-200605030-00008", 
      "https://app.dimensions.ai/details/publication/pub.1037302188"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:20", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000348_0000000348/records_54334_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.2165%2F00822942-200605030-00008"
  }
]
 

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.10.2165/00822942-200605030-00008'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.2165/00822942-200605030-00008'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.2165/00822942-200605030-00008'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.2165/00822942-200605030-00008'


 

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

203 TRIPLES      21 PREDICATES      59 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.2165/00822942-200605030-00008 schema:about N0a21f8092a6949ad834a65667db5eac5
2 N25a70cb510414409a80eb8d55c7a174f
3 N3ab531379c1a477f8ff950385cdd2601
4 N4a175aff901342519c1ece76f2c171f1
5 N6fcf5687b767491f89a223c2f65283a2
6 N71c76a546e634def831c6fdcd613c6d6
7 Nbe48c35dd74649558e55fdad2636296b
8 anzsrc-for:06
9 anzsrc-for:0604
10 schema:author Ndb9913a21b2644698064233311d0760c
11 schema:citation sg:pub.10.1038/nature01582
12 sg:pub.10.1038/nature01586
13 sg:pub.10.1186/1471-2105-4-21
14 sg:pub.10.1186/1471-2105-5-23
15 https://doi.org/10.1016/s1367-5931(03)00027-9
16 https://doi.org/10.1073/pnas.0409111102
17 https://doi.org/10.1089/153623103322246566
18 https://doi.org/10.1093/bioinformatics/bth137
19 https://doi.org/10.1093/nar/25.17.3389
20 https://doi.org/10.1093/nar/25.5.0955
21 https://doi.org/10.1093/nar/26.12.2941
22 https://doi.org/10.1093/nar/27.23.4636
23 https://doi.org/10.1093/nar/28.17.3278
24 https://doi.org/10.1093/nar/28.22.4573
25 https://doi.org/10.1093/nar/29.12.2607
26 https://doi.org/10.1093/nar/gkf338
27 https://doi.org/10.1093/nar/gkg254
28 https://doi.org/10.1093/nar/gkg312
29 https://doi.org/10.1093/nar/gkg590
30 https://doi.org/10.1093/nar/gki866
31 https://doi.org/10.1093/oxfordjournals.molbev.a026133
32 https://doi.org/10.1128/mmbr.67.3.303-342.2003
33 https://doi.org/10.1145/1029496.1029525
34 schema:datePublished 2006-09
35 schema:datePublishedReg 2006-09-01
36 schema:description With >1,000 prokaryotic genome sequencing projects ongoing or already finished, comprehensive comparative analysis of the gene content of these genomes has become viable. To allow for a meaningful comparative analysis, gene prediction of the various genomes should be as accurate as possible. It is clear that improving the state of genome annotation requires automated gene identification methods to cope with the influence of artifacts, such as genomic GC content. There is currently still room for improvement in the state of annotations. We present a web server and a database of high-quality gene predictions. The web server is a resource for gene identification in prokaryote genome sequences. It implements our previously described, accurate gene finding method REGANOR. We also provide novel gene predictions for 241 complete, or almost complete, prokaryotic genomes. We demonstrate how this resource can easily be utilised to identify promising candidates for currently missing genes from genome annotations with several examples. All data sets are available online. AVAILABILITY: The gene finding server is accessible via https://www.cebitec.uni-bielefeld.de/groups/brf/software/reganor/cgi-bin/reganor_upload.cgi. The server software is available with the GenDB genome annotation system (version 2.2.1 onwards) under the GNU general public license. The software can be downloaded from https://sourceforge.net/projects/gendb/. More information on installing GenDB and REGANOR and the system requirements can be found on the GenDB project page http://www.cebitec.uni-bielefeld.de/groups/brf/software/wiki/GenDBWiki/AdministratorDocumentation/GenDBInstallation
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf N9243fc2aebd44a64ad1cd5a1e49227db
41 Nc60a247046d346589e18175376164351
42 sg:journal.1031174
43 schema:name REGANOR
44 schema:pagination 193-198
45 schema:productId N17950eae5c104dc6ba32e54191a56962
46 N663fb79000b645d2ac0642d08f816ebf
47 Naa29294623cb45bdb13f0127397afbf4
48 Nb41240f1c33741bc86f981db6220b6c3
49 Nc76e6bd147874d42a2d664d08456eefd
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037302188
51 https://doi.org/10.2165/00822942-200605030-00008
52 schema:sdDatePublished 2019-04-11T10:20
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N464b26c3db774214951ad96daa0ef539
55 schema:url https://link.springer.com/10.2165%2F00822942-200605030-00008
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N0a21f8092a6949ad834a65667db5eac5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
60 schema:name User-Computer Interface
61 rdf:type schema:DefinedTerm
62 N17950eae5c104dc6ba32e54191a56962 schema:name dimensions_id
63 schema:value pub.1037302188
64 rdf:type schema:PropertyValue
65 N25a70cb510414409a80eb8d55c7a174f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Sequence Analysis, DNA
67 rdf:type schema:DefinedTerm
68 N3ab531379c1a477f8ff950385cdd2601 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Chromosome Mapping
70 rdf:type schema:DefinedTerm
71 N4616b6d32e744abb9a7353f9891be79d rdf:first sg:person.01154133575.82
72 rdf:rest Nef1e07b0b3f346e9bdc0e58fcc75427b
73 N464b26c3db774214951ad96daa0ef539 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N4a175aff901342519c1ece76f2c171f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Databases, Genetic
77 rdf:type schema:DefinedTerm
78 N663fb79000b645d2ac0642d08f816ebf schema:name readcube_id
79 schema:value b1b1eb286ffaeff1618c6ba45f52cd615cd97bbd5c247718ab038ce2ebe1c355
80 rdf:type schema:PropertyValue
81 N6fcf5687b767491f89a223c2f65283a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Software
83 rdf:type schema:DefinedTerm
84 N71c76a546e634def831c6fdcd613c6d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Internet
86 rdf:type schema:DefinedTerm
87 N9243fc2aebd44a64ad1cd5a1e49227db schema:volumeNumber 5
88 rdf:type schema:PublicationVolume
89 Naa29294623cb45bdb13f0127397afbf4 schema:name pubmed_id
90 schema:value 16922601
91 rdf:type schema:PropertyValue
92 Nb41240f1c33741bc86f981db6220b6c3 schema:name doi
93 schema:value 10.2165/00822942-200605030-00008
94 rdf:type schema:PropertyValue
95 Nbe48c35dd74649558e55fdad2636296b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Prokaryotic Cells
97 rdf:type schema:DefinedTerm
98 Nc60a247046d346589e18175376164351 schema:issueNumber 3
99 rdf:type schema:PublicationIssue
100 Nc76e6bd147874d42a2d664d08456eefd schema:name nlm_unique_id
101 schema:value 101150311
102 rdf:type schema:PropertyValue
103 Nd68bbc5cd7d94fa9b289c7d5ca740210 rdf:first sg:person.01041701425.67
104 rdf:rest N4616b6d32e744abb9a7353f9891be79d
105 Ndb9913a21b2644698064233311d0760c rdf:first sg:person.0602011516.92
106 rdf:rest Nd68bbc5cd7d94fa9b289c7d5ca740210
107 Ne0feb8c19d5949c2912c2c4940ca5e21 rdf:first sg:person.0623154651.88
108 rdf:rest rdf:nil
109 Nef1e07b0b3f346e9bdc0e58fcc75427b rdf:first sg:person.01102546322.50
110 rdf:rest Ne0feb8c19d5949c2912c2c4940ca5e21
111 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
112 schema:name Biological Sciences
113 rdf:type schema:DefinedTerm
114 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
115 schema:name Genetics
116 rdf:type schema:DefinedTerm
117 sg:grant.3760706 http://pending.schema.org/fundedItem sg:pub.10.2165/00822942-200605030-00008
118 rdf:type schema:MonetaryGrant
119 sg:journal.1031174 schema:issn 1175-5636
120 2230-603X
121 schema:name Applied Bioinformatics
122 rdf:type schema:Periodical
123 sg:person.01041701425.67 schema:affiliation https://www.grid.ac/institutes/grid.481554.9
124 schema:familyName McHardy
125 schema:givenName Alice C.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041701425.67
127 rdf:type schema:Person
128 sg:person.01102546322.50 schema:affiliation https://www.grid.ac/institutes/grid.7491.b
129 schema:familyName Krause
130 schema:givenName Lutz
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102546322.50
132 rdf:type schema:Person
133 sg:person.01154133575.82 schema:affiliation https://www.grid.ac/institutes/grid.7491.b
134 schema:familyName Neuweger
135 schema:givenName Heiko
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154133575.82
137 rdf:type schema:Person
138 sg:person.0602011516.92 schema:affiliation https://www.grid.ac/institutes/grid.7491.b
139 schema:familyName Linke
140 schema:givenName Burkhard
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602011516.92
142 rdf:type schema:Person
143 sg:person.0623154651.88 schema:affiliation https://www.grid.ac/institutes/grid.7491.b
144 schema:familyName Meyer
145 schema:givenName Folker
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623154651.88
147 rdf:type schema:Person
148 sg:pub.10.1038/nature01582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007323089
149 https://doi.org/10.1038/nature01582
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/nature01586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044426221
152 https://doi.org/10.1038/nature01586
153 rdf:type schema:CreativeWork
154 sg:pub.10.1186/1471-2105-4-21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013695495
155 https://doi.org/10.1186/1471-2105-4-21
156 rdf:type schema:CreativeWork
157 sg:pub.10.1186/1471-2105-5-23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049822056
158 https://doi.org/10.1186/1471-2105-5-23
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s1367-5931(03)00027-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025920571
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1073/pnas.0409111102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024026168
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1089/153623103322246566 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059215047
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1093/bioinformatics/bth137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046553886
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1093/nar/25.17.3389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047265454
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1093/nar/25.5.0955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041894290
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1093/nar/26.12.2941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004653559
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1093/nar/27.23.4636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012730605
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1093/nar/28.17.3278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020167695
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1093/nar/28.22.4573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009684488
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1093/nar/29.12.2607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000907711
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1093/nar/gkf338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035259893
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1093/nar/gkg254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048748953
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1093/nar/gkg312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000961039
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1093/nar/gkg590 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046604965
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/nar/gki866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009961531
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1093/oxfordjournals.molbev.a026133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020243349
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1128/mmbr.67.3.303-342.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044170804
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1145/1029496.1029525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028726003
197 rdf:type schema:CreativeWork
198 https://www.grid.ac/institutes/grid.481554.9 schema:alternateName IBM Research – Thomas J. Watson Research Center
199 schema:name IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA
200 rdf:type schema:Organization
201 https://www.grid.ac/institutes/grid.7491.b schema:alternateName Bielefeld University
202 schema:name CeBiTec/BRF, Universität Bielefeld, D-33594, Bielefeld, Germany
203 rdf:type schema:Organization
 




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


...