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Understanding the yeast proteome: a bioinformatics perspective.

Andrei Grigoriev
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Abstract

Rapid development of genomic and proteomic methodologies has provided a wealth of data for deciphering the biomolecular circuitry of a living cell. The main areas of computational research of proteomes outlined in this review are: understanding the system, its features and parameters to help plan the experiments; data integration, to help produce more reliable data sets; visualization and other forms of data representation to simplify interpretation; modeling of the functional regulation; and systems biology. With false-positive rates reaching 50% even in the more reliable data sets, handling the experimental error remains one of the most challenging tasks. Integrative approaches, incorporating results of various genome- and proteome-wide experiments, allow for minimizing the error and bring with them significant predictive power.

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Computational BiologyFungal ProteinsProteomeProteomicsRNA, MessengerSaccharomyces cerevisiae ProteinsJournal ArticleReview

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Andrei Grigoriev. 2004. Understanding the yeast proteome: a bioinformatics perspective.. https://doi.org/10.1586/14789450.1.2.193

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