Bioinformatic approaches and computational models for data integration and cross-species extrapolation in the postgenomic era

Kenneth Ramos, Renae L. Malek, John Quakenbush, Ilya Shmulevich, Joshua Stuart, Michael Waters

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The completion of the draft genome sequences for human, mouse, and rat, along with the development of genomics resources in a wide range of other species, has set the stage for the evolution of toxicology and environmental science from the study of 1 gene, 1 protein, or 1 metabolite at a time to more comprehensive approaches that allow profiling of the response of hundreds to tens of thousands of RNAs, proteins, or metabolites to external insults and stimuli. Fueled by the availability of fundamental data on the genes and proteins encoded within a wide range of species and motivated by the development of increasingly robust and reliable technologies for high-throughput analysis, new approaches in genomics, transcriptomics, proteomics, and metabolomics are beginning to provide data on a global scale. These approaches allow examination of changes in RNA, protein, or metabolite levels in the context of target genomes and the signaling and metabolic pathways that they encode.

Original languageEnglish (US)
Title of host publicationGenomic Approaches for Cross-Species Extrapolation in Toxicology
PublisherCRC Press
Pages103-149
Number of pages47
ISBN (Electronic)9781420043648
ISBN (Print)142004334X, 9781420043341
StatePublished - Jan 1 2006
Externally publishedYes

ASJC Scopus subject areas

  • Environmental Science(all)
  • Mathematics(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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    Ramos, K., Malek, R. L., Quakenbush, J., Shmulevich, I., Stuart, J., & Waters, M. (2006). Bioinformatic approaches and computational models for data integration and cross-species extrapolation in the postgenomic era. In Genomic Approaches for Cross-Species Extrapolation in Toxicology (pp. 103-149). CRC Press.