Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/118456
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHippe, Klaus-
dc.contributor.authorColmsee, Christian-
dc.contributor.authorCzauderna, Tobias-
dc.contributor.authorGrafahrend-Belau, Eva-
dc.contributor.authorJunker, Björn H.-
dc.contributor.authorKlukas, Christian-
dc.contributor.authorScholz, Uwe-
dc.contributor.authorSchreiber, Falk-
dc.contributor.authorWeise, Stephan-
dc.date.accessioned2025-03-05T08:44:36Z-
dc.date.available2025-03-05T08:44:36Z-
dc.date.issued2010-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/120415-
dc.identifier.urihttp://dx.doi.org/10.25673/118456-
dc.description.abstractCrop plants play a major role in human and animal nutrition and increasingly contribute to chemical or pharmaceutical industry and renewable resources. In order to achieve important goals, such as the improvement of growth or yield, it is indispensable to understand biological processes on a detailed level. Therefore, the well-structured management of fine-grained information about metabolic pathways is of high interest. Thus, we developed the MetaCrop information system, a manually curated repository of high quality information concerning the metabolism of crop plants. However, the data access to and flexible export of information of MetaCrop in standard exchange formats had to be improved. To automate and accelerate the data access we designed a set of web services to be integrated into external software. These web services have already been used by an add-on for the visualisation toolkit VANTED. Furthermore, we developed an export feature for the MetaCrop web interface, thus enabling the user to compose individual metabolic models using SBML.eng
dc.language.isoeng-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subject.ddc004-
dc.titleNovel developmentsof the MetaCrop Information System for facilitating systems biological approacheseng
dc.typeArticle-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleJournal of integrative bioinformatics-
local.bibliographicCitation.volume7-
local.bibliographicCitation.issue3-
local.bibliographicCitation.pagestart1-
local.bibliographicCitation.pageend9-
local.bibliographicCitation.publishernameWalter de Gruyter GmbH-
local.bibliographicCitation.publisherplaceBerlin-
local.bibliographicCitation.doi10.1515/jib-2010-125-
local.openaccesstrue-
dc.identifier.ppn1919117857-
cbs.publication.displayform2010-
local.bibliographicCitation.year2010-
cbs.sru.importDate2025-03-05T08:44:07Z-
local.bibliographicCitationEnthalten in Journal of integrative bioinformatics - Berlin : Walter de Gruyter GmbH, 2004-
local.accessrights.dnbfree-
Appears in Collections:Open Access Publikationen der MLU

Files in This Item:
File Description SizeFormat 
10.1515_jib-2010-125.pdf551.83 kBAdobe PDFThumbnail
View/Open