GINGA - Graphical Interface for Comparative Genome Analysis: o desenvolvimento de um sistema computacional de visualização gráfica para a análise comparativa de genomas de bactérias

• Autor(a) principal: Paschoal, Alexandre Rossi
• Data de Publicação: 2007
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do LNCC
• Texto Completo: https://tede.lncc.br/handle/tede/53
• topic: Bioinformática; Genômica comparativa; Bactérias fitopatógenas; Genomics; Bioinformatics; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO::COMPUTABILIDADE E MODELOS DE COMPUTACAO

This study aimed to develop a computational system applied to the comparative analysis of prokaryotic genomes in a graphical view. The system named GINGA Graphical Interface for comparative Genome Analysis was developed to analyse a draft genome sequence in comparison to a complete genome. The system shows the alignment between sequence of reads, contigs and scaffolds from partial sequenced genomes and the complete sequence of another genome and allows the identification shared and unique regions as well as rearrangements. GINGA is a web-based system developed using the PERL language to access a MySQL database where all the information regard to the comparative analysis is stored. The module of the interface to GD (Graphics Library) was used to help the construction of the graphical tool. The graphical view allows zoom in/out on the information on assembly, annotation and the organization of the sequences. Supplementary information can be accessed in the form of reports. GINGA system was used to compare the genomes of Leifsonia xyli subsp. cynodontis (Lxc draft genome sequence) and Leifsonia xyli subsp. xyli (Lxx complete genome sequence). The mail goal was to identify genetic differences that may help to understand the pathogeniciy of Lxx towards sugarcane. A total of 9.754 reads assembled in 1.064 contigs and 317 scaffolds produced 1.470.731 of no redundant bases of Lxc genome and were used in the analysis. GINGA allowed the identification of 206.320 bp (~20%) of Lxc specific sequences organized in contigs and 56.884 bp organized in 19 scaffolds (5,9%), around 1 milion bp aligned to Lxx genome and at least 6 large scale genomic rearrangements. These results were presented in a graphical interface and allowed to guide the partial genome sequencing, helping to decide which regions should be further sequenced and at the same time allowing the formulation of hypothesis related to important biological aspects of these microorganisms