Publikation: OPTIMAS-DW : a comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Maize is a major crop plant, grown for human and animal nutrition, as well as a renewable resource for bioenergy. When looking at the problems of limited fossil fuels, the growth of the world's population or the world's climate change, it is important to find ways to increase the yield and biomass of maize and to study how it reacts to specific abiotic and biotic stress situations. Within the OPTIMAS systems biology project maize plants were grown under a large set of controlled stress conditions, phenotypically characterised and plant material was harvested to analyse the effect of specific environmental conditions or developmental stages. Transcriptomic, metabolomic, ionomic and proteomic parameters were measured from the same plant material allowing the comparison of results across different omics domains. A data warehouse was developed to store experimental data as well as analysis results of the performed experiments.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
COLMSEE, Christian, Martin MASCHER, Tobias CZAUDERNA, Anja HARTMANN, Urte SCHLÜTER, Nina ZELLERHOFF, Jessica SCHMITZ, Andrea BRÄUTIGAM, Falk SCHREIBER, Uwe SONNEWALD, 2012. OPTIMAS-DW : a comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize. In: BMC Plant Biology. 2012, 12(1), 245. ISSN 1471-2229. eISSN 1471-2229. Available under: doi: 10.1186/1471-2229-12-245BibTex
@article{Colmsee2012OPTIM-38553, year={2012}, doi={10.1186/1471-2229-12-245}, title={OPTIMAS-DW : a comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize}, number={1}, volume={12}, issn={1471-2229}, journal={BMC Plant Biology}, author={Colmsee, Christian and Mascher, Martin and Czauderna, Tobias and Hartmann, Anja and Schlüter, Urte and Zellerhoff, Nina and Schmitz, Jessica and Bräutigam, Andrea and Schreiber, Falk and Sonnewald, Uwe}, note={Article Number: 245} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/38553"> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:creator>Czauderna, Tobias</dc:creator> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/38553/3/Colmsee_0-395972.pdf"/> <dc:creator>Sonnewald, Uwe</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-21T10:55:40Z</dcterms:available> <dc:rights>terms-of-use</dc:rights> <dc:creator>Mascher, Martin</dc:creator> <dcterms:issued>2012</dcterms:issued> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:creator>Bräutigam, Andrea</dc:creator> <dc:contributor>Mascher, Martin</dc:contributor> <dcterms:title>OPTIMAS-DW : a comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize</dcterms:title> <dc:contributor>Czauderna, Tobias</dc:contributor> <dc:contributor>Schmitz, Jessica</dc:contributor> <dc:creator>Schreiber, Falk</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-21T10:55:40Z</dc:date> <dc:language>eng</dc:language> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38553"/> <dc:contributor>Schreiber, Falk</dc:contributor> <dc:creator>Colmsee, Christian</dc:creator> <dc:contributor>Zellerhoff, Nina</dc:contributor> <dc:contributor>Colmsee, Christian</dc:contributor> <dc:contributor>Sonnewald, Uwe</dc:contributor> <dc:creator>Hartmann, Anja</dc:creator> <dc:creator>Schmitz, Jessica</dc:creator> <dc:contributor>Bräutigam, Andrea</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/38553/3/Colmsee_0-395972.pdf"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Hartmann, Anja</dc:contributor> <dcterms:abstract xml:lang="eng">Maize is a major crop plant, grown for human and animal nutrition, as well as a renewable resource for bioenergy. When looking at the problems of limited fossil fuels, the growth of the world's population or the world's climate change, it is important to find ways to increase the yield and biomass of maize and to study how it reacts to specific abiotic and biotic stress situations. Within the OPTIMAS systems biology project maize plants were grown under a large set of controlled stress conditions, phenotypically characterised and plant material was harvested to analyse the effect of specific environmental conditions or developmental stages. Transcriptomic, metabolomic, ionomic and proteomic parameters were measured from the same plant material allowing the comparison of results across different omics domains. A data warehouse was developed to store experimental data as well as analysis results of the performed experiments.</dcterms:abstract> <dc:contributor>Schlüter, Urte</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:creator>Schlüter, Urte</dc:creator> <dc:creator>Zellerhoff, Nina</dc:creator> </rdf:Description> </rdf:RDF>