Literature DB >> 16496022

The model organism as a system: integrating 'omics' data sets.

Andrew R Joyce1, Bernhard Ø Palsson.   

Abstract

Various technologies can be used to produce genome-scale, or 'omics', data sets that provide systems-level measurements for virtually all types of cellular components in a model organism. These data yield unprecedented views of the cellular inner workings. However, this abundance of information also presents many hurdles, the main one being the extraction of discernable biological meaning from multiple omics data sets. Nevertheless, researchers are rising to the challenge by using omics data integration to address fundamental biological questions that would increase our understanding of systems as a whole.

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Year:  2006        PMID: 16496022     DOI: 10.1038/nrm1857

Source DB:  PubMed          Journal:  Nat Rev Mol Cell Biol        ISSN: 1471-0072            Impact factor:   94.444


  202 in total

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Review 2.  Identification of aberrant pathways and network activities from high-throughput data.

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5.  Systems biology in heart diseases.

Authors:  G E Louridas; I E Kanonidis; K G Lourida
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6.  The challenges of integrating multi-omic data sets.

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Journal:  Nat Chem Biol       Date:  2010-11       Impact factor: 15.040

7.  Statistical methods for comparative phenomics using high-throughput phenotype microarrays.

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Review 8.  Methods for biological data integration: perspectives and challenges.

Authors:  Vladimir Gligorijević; Nataša Pržulj
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

9.  Coordinate Regulation of Metabolite Glycosylation and Stress Hormone Biosynthesis by TT8 in Arabidopsis.

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Review 10.  Metals in the "omics" world: copper homeostasis and cytochrome c oxidase assembly in a new light.

Authors:  Ivano Bertini; Gabriele Cavallaro
Journal:  J Biol Inorg Chem       Date:  2007-11-07       Impact factor: 3.358

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