| Abstract Detail
Monday Morning Plenary Session Genomics meets Biodiversity Schoof, Heiko [1]. Integrating and mining plant genomics data: Technological challenges and biological insights. THE complete sequencing of the first plant genome, Arabidopsis thaliana, has sparked high-throughput genomic data generation in several plant species. While data is generally freely accessible through web interfaces, comprehensive analysis is usually hampered by the effort needed to integrate the data. To overcome the limitations of individual efforts and heterogeneous, isolated data collections, several international projects are tackling the problem of ensuring availability of comprehensive, current and integrated genomics data.One approach for data integration is data warehousing, but a distributed network of interconnected databases is more flexible, robust and scalable. Webservices are being used in the Biomoby project to achieve database interoperability. An application is building analysis workflows, where a number of query or processing steps can be combined into a pipeline and executed automatically. Within the European-funded EUSOL project, this technology is being used to integrate bioinformatics efforts.To highlight the requirement for data integration to achieve comprehensive correlative analyses on a genome scale, the detection of putative regulatory sequences in 3' untranslated regions of Arabidopsis mRNAs through statistical analysis of pattern frequencies correlated with associated functional data and RNA structure predictions will be presented. Through selection of overrepresented 7 bp sequence patterns, their correlation with function uncovered conserved sequence motifs within the 3'UTR that are associated with stem-loop structures. This can serve as an example for the opportunities that large-scale correlative analyses offer for exploring sequences from Solanaceae, e.g. sophisticated approaches to translative biology transferring protein function from Arabidopsis to Solanaceaeous proteins.
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Related Links:
Biomoby project
Plant Computational Biology at MPI for plant breeding research, Cologne
1 - Max-Planck-Institute for Plant Breeding Research, Plant Computational Biology, Carl-von-Linné Weg 10, Koeln, 50829, Germany
Keywords:
Bioinformatics
Genomics
Arabidopsis
Biomoby.
Session: SOL02-6
Location: Ballroom ABCD/Monona Terrace
Date: Monday, July 24th, 2006
Time: 11:00 AM
Abstract ID:219 |
