Show simple item record Jenkins, Helen Kular, Baldeep Johnson, Helen E. Wang, Trevor Hardy, Nigel 2006-03-16T12:12:48Z 2006-03-16T12:12:48Z 2006-03-16
dc.identifier.citation Jenkins , H , Kular , B , Johnson , H E , Wang , T & Hardy , N 2006 , ' Towards supportive data collection tools for plant metabolomics ' Jenkins . en
dc.identifier.other PURE: 74553
dc.identifier.other dspace: 2160/26
dc.description Jenkins, H., Johnson, H., Kular, B., Wang, T., Hardy, N., Toward Supportive Data Collection Tools for Plant Metabolomics, Plant Physiol, 2005 en
dc.description.abstract Over recent years, a number of initiatives have proposed standard reporting guidelines for functional genomics experiments. Associated with these are data models that may be used as the basis of the design of software tools that store and transmit experiment data in standard formats. Central to the success of such data handling tools is their usability. Successful data handling tools are expected to yield benefits in time saving and in quality assurance. Here, we describe the collection of datasets that conform to the recently proposed data model for plant metabolomics known as ArMet (architecture for metabolomics) and illustrate a number of approaches to robust data collection that have been developed in collaboration between software engineers and biologists. These examples also serve to validate ArMet from the data collection perspective by demonstrating that a range of software tools, supporting data recording and data upload to central databases, can be built using the data model as the basis of their design. en
dc.language.iso eng
dc.relation.ispartof Jenkins en
dc.subject data collection en
dc.subject metabolomics en
dc.title Towards supportive data collection tools for plant metabolomics en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Department of Computer Science en
dc.description.status Peer reviewed en

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