Predictive modelling and integration of functional genomics data for applications in plant biology
2008 (English)In: Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology, 2008, S50- p.Conference paper (Other academic)
Tree biotechnology will soon reach a mature state where it will influence the overall supply of fiber and wood products. Through technological advancements, it may be possible to introduce trees that are optimized for faster growth or more efficient wood formation to grow more wood in managed plantation forests. To study and ultimately understand the underlying regulatory mechanisms of e.g. wood formation in trees, parallel profiling of molecular events are frequently utilized in functional genomics contexts. In practice, this implies that massive amounts of data are being generated from biological samples, e.g. the simultaneous measurement of tens of thousands of transcripts, proteins and metabolites at a current state or over time. This is not only creating logistical problems but also makes data integration and data mining one of the main challenges in post-genomics functional genomics studies. This presentation covers the integration of omics data sets using a predictive modeling approach. Based on the bi-directional, multivariate O2PLS method, it is possible to separate sources of variation that are overlapping across multiple analytical platforms as well as systematic sources of variation that are unique to each platform. This property can be highly beneficial for the biological interpretation of the results. Characteristics of the method as well as a conceptual comparison to related methods will be discussed. The main focus will be on the utility of the approach for studying simultaneous regulatory events in plant biology, exemplified by a study to reveal potential targets for optimization of the lignin biosynthesis.
Place, publisher, year, edition, pages
2008. S50- p.
IdentifiersURN: urn:nbn:se:umu:diva-10321DOI: doi:10.1016/j.cbpa.2008.04.620OAI: oai:DiVA.org:umu-10321DiVA: diva2:149992
Abstracts of the Annual Main Meeting of the Society of Experimental Biology, 6th - 10th July 2008, Marseille, France2008-08-122008-08-12Bibliographically approved