Background#R##N#Studies integrating transcriptomic data with proteomic data can illuminate the proteome more clearly than either separately. Integromic studies can deepen understanding of the dynamic complex regulatory relationship between the transcriptome and the proteome. Integrating these data dictates a reliable mapping between the identifier nomenclature resultant from the two high-throughput platforms. However, this kind of analysis is well known to be hampered by lack of standardization of identifier nomenclature among proteins, genes, and microarray probe sets. Therefore data integration may also play a role in critiquing the fallible gene identifications that both platforms emit.
['Roger Day', 'Kevin McDade', 'Uma R. Chandran', 'Alex Lisovich', 'Thomas P. Conrads', 'Brian L. Hood', 'V. S. Kumar Kolli', 'David Kirchner', 'Traci Litzi', 'G. Larry Maxwell']
Identifier mapping performance for integrating transcriptomics and proteomics experimental results