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Databases and Systems

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databank feature tables <strong>and</strong>/or via FlyBase direct user submission tools. Scaling this<br />

effort <strong>and</strong> obtaining effective community involvement in data capture is an important<br />

challenge for the future.<br />

Maintaining Extensive Hyperlinks between Community <strong>Databases</strong><br />

One of the outst<strong>and</strong>ing features of the WWW is the ability to embed cross-links<br />

between related items on different servers. FlyBase maintains extensive tables of<br />

connections to support such cross-links, especially to sequence <strong>and</strong> community<br />

databases. We recognize, however, that this effort is incomplete <strong>and</strong> not sustainable<br />

by FlyBase alone. For example, FlyBase reflects statements of “homology” in the<br />

primary literature. Except for fully sequenced organisms, however, these<br />

declarations of “homology” are generally based on incomplete information, <strong>and</strong> more<br />

similar members of the same protein family may well be identified subsequent to<br />

publication. Further, FlyBase considers papers that involve the identification of a<br />

Drosophila gene with sequence similarity to a gene in another taxon as being in its<br />

literature curation domain, but the converse is not true. Papers in which a Drosophila<br />

sequence is used as a probe to identify related sequences in another organism are<br />

viewed as appropriate for curation by the community database for that organism, if it<br />

exists. There is clearly a need for an independent database of links. at least between<br />

the genomes of the major genetic systems, that these organisms’ community<br />

databases contribute to <strong>and</strong> use for more systematic interconnections.<br />

Genome, Proteome <strong>and</strong> Phenome Views of FlyBase<br />

Just as the availability of full genomic sequence has changed the way research is<br />

done, functional genomics — that is, the high throughput analysis of gene products –<br />

will clearly have a similar, if not more dramatic, impact. One tremendous advantage<br />

of genomic information is the increased efficiency of positional cloning <strong>and</strong> gene<br />

identification. Once the gene is identified, however, researchers are usually<br />

interested in underst<strong>and</strong>ing relationships at the level of gene products <strong>and</strong> their<br />

physical, cellular, developmental or behavioral interactions. Much modern research<br />

exploits the major genetic systems to answer sophisticated questions about the<br />

relationship of the “proteome” (the entire constellation of protein products produced<br />

by a genome) with the “phenome” (the constellation of phenotypes controlled by the<br />

various genetic units of the genome).<br />

We are already seeing this trend in Drosophila research. Much research focuses<br />

on fleshing out pathways through a combination of physical methods to identify<br />

protein-protein, protein-RNA or protein-DNA interactions, together with genetic

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