Genome Analysis of Species of Agricultural Interest

Maria Luisa Chiusano, Nunzio D’Agostino, Amalia Barone, Domenico Carputo and Luigi Frusciante
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Maria Luisa Chiusano: University of Naples Federico II

A chapter in Advances in Modeling Agricultural Systems, 2009, pp 385-402 from Springer

Abstract: Abstract In recent years, the role ofbioinformaticsbioinformatics in supporting structural and functional genomics and the analysis of the molecules that are expressed in a cell has become fundamental for data management, interpretation, and modeling. This interdisciplinary research area provides methods that aim not only to detect and to extract information from a massive quantity of data but also to predict the structure and function of biomolecules and to model biological systems of small and medium complexity. Although bioinformatics provides a major support for experimental practice, it mainly plays a complementary role in scientific research. Indeed, bioinformatics methods are typically appropriate for large-scale analyses and cannot be replaced with experimental approaches. Specialized databases, semiautomated analyses, and data mining methods are powerful tools in performing large-scale analyses aiming to (i) obtain comprehensive collections; (ii) manage, classify, and explore the data as a whole; and (iii) derive novel features, properties, and relationships. Such methods are thus suitable for providing novel views and supporting in-depth understanding of biological system behavior and designing reliable models. The success of bioinformaticsbioinformatics approaches is directly dependent on the efficiency of data integration and on the value-added information that it produces. This is, in turn, determined by the diversity of data sources and by the quality of the annotation they are endowed with. To fulfill these requirements, we designed the computational platform ISOLA, in the framework of the International Solanaceae Genomics Project. ISOLA is an Italian genomics resource dedicated to the Solanaceae family and was conceived to collect data produced by ‘omics' technologies. Its main features and tools are presented and discussed as an example of how to convert experimental data into biological information that in turn is the basis for modeling biological systems.

Keywords: Genome Browser; Gene Predictor; Tomato Genome; Tentative Consensus Sequence; Solanaceae Species (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-0-387-75181-8_18

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