Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining

Autor: Malerba Donato, Grillo Giorgio, Salvemini Eliana, Loglisci Corrado, Turi Antonio, D'Elia Domenica

Publikováno v: BMC Bioinformatics, Vol 10, Iss Suppl 6, p S25 (2009)

Abstract Background Many studies report about detection and functional characterization of cis-regulatory motifs in untranslated regions (UTRs) of mRNAs but little is known about the nature and functional role of their distribution. To address this i

Externí odkaz: https://doaj.org/article/d9a63ef6d8924b7387736903750ad4c1

MitoRes: a resource of nuclear-encoded mitochondrial genes and their products in Metazoa

Autor: Grillo Giorgio, Turi Antonio, Licciulli Flavio, Catalano Domenico, Saccone Cecilia, D'Elia Domenica

Publikováno v: BMC Bioinformatics, Vol 7, Iss 1, p 36 (2006)

Abstract Background Mitochondria are sub-cellular organelles that have a central role in energy production and in other metabolic pathways of all eukaryotic respiring cells. In the last few years, with more and more genomes being sequenced, a huge am

Externí odkaz: https://doaj.org/article/49d89de53512428298b9a137e33e7b37

Higher Order Mining of Biological Motifs

Autor: D'’Elia Domenica, Loglisci Corrado, Salvemini Eliana, Turi Antonio, Malerba Donato

Publikováno v: Artificial Intelligence and Linfe Science (AI*IA) Conference, pp. 120–136, Cagliari-Italia, 11-13 Settembre 2008
info:cnr-pdr/source/autori:D'’Elia Domenica, Loglisci Corrado, Salvemini Eliana, Turi Antonio, Malerba Donato/congresso_nome:Artificial Intelligence and Linfe Science (AI*IA) Conference/congresso_luogo:Cagliari-Italia/congresso_data:11-13 Settembre 2008/anno:2008/pagina_da:120/pagina_a:136/intervallo_pagine:120–136

A well-investigated problem in Bioinformatics is that of identifying regulatory functions from the genome, where pattern discovery techniques are typically adopted. In this paper we face the problem of supporting the interpretation of biological moti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::c9a479954cdc7990323058995a3be2f5
https://publications.cnr.it/doc/96836

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A Grid-Based Multi-relational Approach to Process Mining.

Autor: Turi, Antonio, Appice, Annalisa, Ceci, Michelangelo, Malerba, Donato

Publikováno v: Database & Expert Systems Applications (9783540856535); 2008, p701-709, 9p