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Databases and Systems

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142<br />

process. Because the databases are currently in heterogeneous format, the road to<br />

integration will be an interesting experiment in database interconnectivity.<br />

The FlyBase Consortium Model<br />

FlyBase has opted for a distributed structure, in which several remote sites participate<br />

in producing a single integrated database. With the inclusion of BDGP <strong>and</strong> EDGP,<br />

the FlyBase Consortium includes 5 groups, located at: Harvard University,<br />

University of Cambridge, Indiana University, University of California — Berkeley,<br />

<strong>and</strong> the European Bioinformatics Institute. The advantages of this approach are the<br />

small sizes of the individual groups, the inclusion of several project directors who in<br />

part act as a set of internal advisors, <strong>and</strong> the heterogeneity of viewpoints that are<br />

represented. FlyBase has concluded that this distributed organization works<br />

extremely well for its purposes. It does however place considerable emphasis on<br />

issues of data transfer, synchrony, <strong>and</strong> integration.<br />

The Subdivisions of Data Responsibilities within FlyBase<br />

The data outputs of the BDGP <strong>and</strong> EDGP projects are their individual<br />

responsibilities, as are the literature data outputs of the original FlyBase group.<br />

These include:<br />

BDGP:<br />

1 .P1/BAC STS content physical map of the genome.<br />

2.Genomic sequence of the autosomes.<br />

3.Characterization of ESTs from a variety of cDNA libraries.<br />

4.Sequencing of representative near full-length cDNAs.<br />

5 .Autosomal P element insertion mapping <strong>and</strong> characterization.<br />

6.ComputationaI identification of genes.<br />

7.Incorporation of the above data into genome level maps.<br />

EDGP:<br />

8.Cosmid/BAC physical map of the genome.<br />

9.Genomic sequence of the X chromosome.<br />

10.X chromosomal P element insertion mapping <strong>and</strong> characterization.<br />

11.Computational identification of genes.<br />

12.Incorporation of the above data into genome level maps.<br />

Literature:<br />

Bibliographic information, including links to bibliographic databases such as<br />

PubMed <strong>and</strong> BIOSIS.

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