Authors: José Paulo Lousado; José Luis Oliveira; Gabriela Moura; Manuel A.S. Santos
Addresses: Centro de Estudos em Educação, Tecnologias e Saúde, ESTGL, Instituto Politécnico de Viseu, Campus Politécnico de Viseu, 3504-510 Viseu, Portugal ' Department of Electronics, Telecommunications and Informatics (DETI/IEETA), University of Aveiro, 3810-193 Aveiro, Portugal ' Department of Biology (CESAM), University of Aveiro, 3810-193 Aveiro, Portugal ' Department of Biology (CESAM), University of Aveiro, 3810-193 Aveiro, Portugal
Abstract: The relationship between genome characteristics and several human diseases has been a central research goal in genomics. Many studies have shown that specific gene patterns, such as amino acid repetitions, are associated with human diseases. However, several open questions still remain, such as, how these tandem repeats appeared in the evolutionary path or how they have evolved in orthologous genes of related organisms. In this paper, we present a computational solution that facilitates comparative studies of orthologous genes from various organisms. The application uses various web services to gather gene sequence information, local algorithms for tandem repeats identification and similarity measures for gene clustering.
Keywords: codon repeats; evolutionary analysis; orthologous genes; gene comparison; tandem repeats; data integration; web services; bioinformatics; gene patterns; human diseases; gene sequences; gene clustering.
International Journal of Data Mining and Bioinformatics, 2012 Vol.6 No.4, pp.369 - 381
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 28 Sep 2012 *