GETMaps was designed to facilitate the positional candidate gene approach for detecting human disease genes.


The material presented in this website is mostly unpublished. The personal usage of data included in GETMaps is unrestricted; on the contrary, an authorization is required if data are used for publication, unless the following reference is cited:

Bortoluzzi et al. - A comprehensive high resolution genomic transcript map of human skeletal muscle.   Genome Research   8: 817-825, 1998.


A dedicated software (HGS) has been developed by Fabio d'Alessi (supported by Telethon) and Stefania Bortoluzzi (PhD student), in the laboratory of Human Genetics, University of Padua (Italy), leaded by Prof. G.A.Danieli.

In brief, the software retrieves from UniGene all the HS-entries corresponding to a selected library or group of libraries. Only the HS-entries containing mapping information are considered. They are assigned to a specific map position, by using the resources provided by LDB (The Genetic Location Database).

UniGene employs a conservative method to assign all the human EST, mRNA or gene sequences stored in GenBank, to distinct UniGene "clusters", each representing bona fide a unique human expressed gene.
The sequences can be accessed in UniGene by keywords, by chromosome or by the identification number of the cDNA library to which the sequence belongs (cDNA libraries are classified by tissue). Presently more than 50% of the UniGene clusters are associated with their mapping information.

In order to obtain a catalogue of expressed genes, GETMaps preliminarily collects from UniGene data pertaining to one or more libraries from a given human tissue.
In the next step, UniGene entries owing mapping information are analyzed and sorted by chromosome. Then, any mapping information is processed by using the human integrated maps at the Location Database (LDB).
Each UniGene mapped entry is then placed to the center of the interval defined by the two closest markers. Its distance from the top of the chromosome is expressed in Mb.
Finally, high resolution chromosomal expression maps of the given tissue are drawn by a dedicated software.


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