Briefings in Functional Genomics and Proteomics Advance Access published online on May 10, 2006
Briefings in Functional Genomics and Proteomics, doi:10.1093/bfgp/ell019
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* To whom correspondence should be addressed. The functioning of even a simple biological system is much more complicated than the sum of its genes, proteins and metabolites. A premise of systems biology is that molecular profiling will facilitate the discovery and characterization of important disease pathways. However, as multiple levels of effector pathway regulation appear to be the norm rather than the exception, a significant challenge presented by high-throughput genomics and proteomics technologies is the extraction of the biological implications of complex data. Thus, integration of heterogeneous types of data generated from diverse global technology platforms represents the first challenge in developing the necessary foundational databases needed for predictive modelling of cell and tissue responses. Given the apparent difficulty in defining the correspondence between gene expression and protein abundance measured in several systems to date, how do we make sense of these data and design the next experiment? In this review, we highlight current approaches and challenges associated with integration and analysis of heterogeneous data sets, focusing on global analysis obtained from high-throughput technologies. Katrina M. Waters is a Senior Research Scientist in Bioinformatics within the Computational Sciences & Mathematics Division at the Pacific Northwest National Laboratory (PNNL). Joel G. Pounds is a Senior Staff Scientist within the Biological Sciences Division, and is a Focus Area Leader for Environmental Biomarker Discovery research initiative at PNNL. Brian D. Thrall is a Senior Staff Scientist and Technical Group Leader for Cell Biology and Biochemistry at PNNL.
Original Article
Data merging for integrated microarray and proteomic analysis
Katrina M. Waters,
Joel G. Pounds,
and
Brian D. Thrall *
Brian D. Thrall, E-mail: brian.thrall{at}pnl.gov
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