Franco Conterio

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A linear method for the search of eukaryotic nuclear tRNA genes in DNA databases is described. Based on a modified version of the general weight matrix procedure, our algorithm relies on the recognition of two intragenic control regions known as A and B boxes, a transcription termination signal, and on the evaluation of the spacing between these elements.(More)
Mitochondrial DNA HV1 sequences and Y chromosome haplotypes (DYS19 STR and YAP) were characterised in an Albanian sample and compared with those of several other Indo-European populations from the European continent. No significant difference was observed between Albanians and most other Europeans, despite the fact that Albanians are clearly different from(More)
The genetic structure of Sicily was analysed through the distribution of surnames of 758,793 users registered in the Italian Telephone Company, corresponding to 371 communes of the island. Estimates of the coefficient of consanguinity due to random isonymy, of Fisher's a, an indicator of abundance of surnames, and of Karlin-McGregor's v, an indicator of(More)
We report here a new algorithm for the identification of 5S rRNA genes in DNA databases. Based on an improved version of the general weight matrix method, this search procedure relies on the recognition of three informative regions within 5S rRNA genes, and on the weighted evaluation of the distance between them. As an additional step, the algorithm extends(More)
We describe two new polymorphic sites identified by DdeI digestion of human mitochondrial D-Loop DNA. Their frequencies were estimated on a random group of 54 unrelated blood donors, born and descending from female ancestors of the Province of Reggio Emilia (Central Emilia, Northern Italy). These newly detected polymorphisms were generated by A to G(More)
The extent of variation in the migratory movements that occurred in Sicily was evaluated using surname data taken from the telephone directories of the 390 communes of the island. The surname distribution of each commune was linearized by a log-log transformation, and a significant fit to a linear regression model was found in almost all cases.(More)