Integrating 'omic' information: a bridge between genomics and systems biology.

By Hui Ge, A. Walhout, Marc Vidal. Trends in Genetics, 2003

454 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/49ad1b8931b2e2d9b048e44098fd512c5a7e7aaa

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Citations in the corpus

A human protein-protein interaction network: a resource for annotating the proteome. (2005, unknown): “Their frequency cannot be determined without additional information from other proteomics studies providing physiological data about protein complex composition, protein localization, and cell type specificity (Ge et al., 2003).”
Gene–environment interactions in human diseases (2005, methodology): “SYSTEMS BIOLOGY approaches to integrating 'omics' information from many sources is predicted to lead to new insights about cellular and whole-organism functio”
Reconstruction of cellular signalling networks and analysis of their properties (2005, background): “The large number of components, the degree of interconnectivity, the differences in spatio-temporal scales, and the complex control of signalling networks are becoming evident in the integrated genomic and proteomic analyses that are emergin”
Genomics and the physiologist: bridging the gap between genes and crop response (2004, background): “Finally, He et al. (2003) identified phenomics as a structured summary of phenotypic information observed when one to many genes are perturbed by an array of environments.”
Potential of metabolomics as a functional genomics tool. (2004, background): “transcriptomics and proteomics) and will allow the development of biological systems networks by integrating transcriptome, proteome, metabolome and flux data [12, 34 ].”
FlyMine: an integrated database for Drosophila and Anopheles genomics (2007, background): “A number of studies have illustrated the power of integrating data for cross-validation, functional annotation and generating testable hypotheses (reviewed in [1,2]).”
The evolution of molecular biology into systems biology (2004, background): “Although this effort was mostly focused on statistical models and object classification approaches in the late 1990s, it was recognized that a more formal and mechanistic framework was needed to analyze multiple high-throughput data types systematicall”
The model organism as a system: integrating 'omics' data sets (2006, background): “Here, we review some of the recent work that is being conducted around the world with regards to studying biology at the systems level in this wa”
Interactome: gateway into systems biology. (2005, methodology): “Some information on the dynamic nature of interactions can be obtained when Y2H and AP–MS are combined (66) or when interaction data is supplemented by data from expression profiling and phenotypic analyses (3,17).”