High-throughput technologies in the era of post-genomics provide new opportunities to investigate complex biological systems. Data can be collected for a system of interest at the level of gene expression, protein expression and metabolite concentration changes and then used for the assessment of interactions of molecules. However, the vast amount of information also poses challenges for data management, analysis, and interpretation. This paper aims to outline the technical complexity and the sources of variation in the technologies involved in molecular systems biology and computational strategies for data integration.
Proceedings of the New Zealand Society of Animal Production, Volume 66, Napier, 213-218, 2006
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