This article is part of the supplement: Italian Society of Bioinformatics (BITS): Annual Meeting 2007
ISOL@: an Italian SOLAnaceae genomics resource
1 Department of Soil, Plant, Environmental and Animal Production Sciences, University Federico II of Naples, Portici (NA), Italy
2 C.R.A. - A.C.M. Centro di Ricerca per l'Agrumicoltura e le Colture Mediterranee, Acireale (CT), Italy
BMC Bioinformatics 2008, 9(Suppl 2):S7 doi:10.1186/1471-2105-9-S2-S7Published: 26 March 2008
Present-day ‘-omics’ technologies produce overwhelming amounts of data which include genome sequences, information on gene expression (transcripts and proteins) and on cell metabolic status. These data represent multiple aspects of a biological system and need to be investigated as a whole to shed light on the mechanisms which underpin the system functionality.
The gathering and convergence of data generated by high-throughput technologies, the effective integration of different data-sources and the analysis of the information content based on comparative approaches are key methods for meaningful biological interpretations.
In the frame of the International Solanaceae Genome Project, we propose here ISOLA, an Italian SOLAnaceae genomics resource.
ISOLA currently consists of two main levels: the genome and the expression level. The cornerstone of the genome level is represented by the Solanum lycopersicum genome draft sequences generated by the International Tomato Genome Sequencing Consortium. Instead, the basic element of the expression level is the transcriptome information from different Solanaceae species, mainly in the form of species-specific comprehensive collections of Expressed Sequence Tags (ESTs).
The cross-talk between the genome and the expression levels is based on data source sharing and on tools that enhance data quality, that extract information content from the levels' under parts and produce value-added biological knowledge.
ISOLA is the result of a bioinformatics effort that addresses the challenges of the post-genomics era. It is designed to exploit ‘-omics’ data based on effective integration to acquire biological knowledge and to approach a systems biology view. Beyond providing experimental biologists with a preliminary annotation of the tomato genome, this effort aims to produce a trial computational environment where different aspects and details are maintained as they are relevant for the analysis of the organization, the functionality and the evolution of the Solanaceae family.