Navegando por Autor "Melo, Jeane Cecília Bezerra de"

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Análise de dados de coinfecção tuberculose/HIV disponíveis no SINAN utilizando o banco de dados Neo4J
(2023-04-27) Dias Neto, José Bartolomeu Alheiros; Melo, Jeane Cecília Bezerra de; Freitas, Nara Suzy Aguiar de; http://lattes.cnpq.br/6891650997818766; http://lattes.cnpq.br/8499459630583005; http://lattes.cnpq.br/5415193488789338
Research carried out in recent decades indicates the need to investigate infection processes by multiple pathogens, called co-infection processes. Some coinfections have a worldwide reach, involving diseases such as: HIV, malaria, hepatitis, dengue and, more recently, COVID-19. In a study carried out with 500 volunteers carrying the HIV virus (Human Immunodeficiency Virus), it was observed that the coinfection between the HIV virus and MTB (Mycobacterium tuberculosis), the bacterium that causes tuberculosis, produced an increase in the chance of death by 4.07 times when compared to other types of co-infection. The panorama presented indicates the need for studies to identify occurrences, map their incidence in geographic terms, and even include aspects that favor the understanding of the biological mechanisms involved in co-infection processes, whether for prevention, diagnosis or treatment. In Brazil, an instrument that helps in health planning, defining and evaluating the impact of interventions, is the Information System for Notifiable Diseases – SINAN, made available by the Department of Informatics of the SUS (DATASUS). The effective use of these databases makes it possible to identify the epidemiological reality of a given geographic area. Free access to all health professionals corroborates the democratization of access to information, allowing it to be made available to the community. In this work, an exploratory analysis was carried out on data relating to TB and HIV co-infection processes, coming from SINAN, with the objective of proposing methods that facilitate the use of data from this system by health professionals who do not have technical training in computing. Considering that such an application is strongly based on data relationships, it was decided to propose a mapping of data in unconventional databases, oriented to graphs, such as Neo4J. Thus, in addition to simplifying modeling, applications of this type tend to be faster when compared to traditional applications (using relational databases). Therefore, the mapping of data available at SINAN to Neo4J allowed a more perceptible visualization of correlations, enabling an analysis of multiple factors and characteristics of co-infection processes, enhancing the information obtained from the bases of SINAN and the Tabulation System of Data made available by the agency, TABNET.
Aplicativos educacionais para dispositivos móveis
(Universidade Federal Rural de Pernambuco (SEDE); Departamento de Estatística e Informática, 2011) Melo, Jeane Cecília Bezerra de
Soluções computacionais surgem nas diversas áreas do conhecimento, e cada vez mais figuram no cotidiano de nossa sociedade. Além de dispositivos computacionais tradicionais, observamos a disseminação dos dispositivos móveis, como tablets, ampliando as possibilidades de utilização de produtos computacionais. Para alcançar um segmento não especialista da sociedade faz-se necessário o desenvolvimento de novas metodologias de ensino que permitam a introdução de tais conceitos no ensino de nível médio, e introdução do pensamento ccomputacional. Este contexto suscita a discussão recursos didáticos, técnicas e ferramentas usadas na apresentação dos conteúdos, buscando a melhoria na qualidade do processo. Recentemente, o governo buscou equipar as escolas com dispositivos móveis (tablets) e mesmo kits de robótica. A previsão é que um total de 283 escolas públicas sejam contempladas em 2012 com tais kits, vinculadas ao projeto denominado Ensino Médio Inovador. Diante deste panorama, o atual projeto visa propor o desenvolvimento de ferramentas educacionais para dispositivos móveis, incluindo aplicativos para os kits robótica, e disseminar tal conhecimento entre as escolas participantes do ensino médio inovador. Metodologias de ensino que auxiliem a ampliar a utilização de tais recursos serão difundidas entre as escolas atingidas pelo Ensino Médio Inovador, buscando treinar professores e estudantes participantes.
Interação entre patógenos: abordagens computacionais na busca por padrões em genomas filogeneticamente distantes
(2019) Silva, Leonardo Figueirôa e; Melo, Jeane Cecília Bezerra de; Freitas, Nara Suzy Aguiar de; http://lattes.cnpq.br/6891650997818766; http://lattes.cnpq.br/8499459630583005; http://lattes.cnpq.br/3580125507460293
Considered an emerging area, the study of Pathogen-Pathogen Interaction has received considerable attention over the recent years because of the health implications it poses to the human population. At the beginning of this research project, biologists from the Department of Bio-logy from the Federal Rural University of Pernambuco conducted an analysis on the genes and proteins of Human papillomavirus type 16 (HPV 16) contained in the National Center for Bi-otechnology Information (NCBI) sequences databases. The initial analysis resulted in similar alignments and in synteny with the genome of Chlamydia trachomatis. As these pathogens are phylogenetically distant, little is known about their history of interaction and evolution at the genetic level.The analysis of evolutionary events between phylogenetically distant genomes involves lo-o king for patterns that are not previously known in conserved regions of the genomes, taking in to account their specific characteristics. Considering the non availability of computational methods to deal with this problem and its specificities, the present research project intends to study current approaches to similar problems and to implement a heuristic using classical computational methods for motif fiding and specific biological knowledge in order to investigate possible evolutionary relationships and interactions between the speciesAlphapapilomavirus9andChlamydia trachomatis through the application of computational techniques and comparative genomics.The implementation of the heuristics involved gathering information about genome homogenization, codon usage, physiochemical properties of amino acids, and finding motifs com-mon to the sequences through exhaustive searching. Since the results obtained from the implementation of the heuristic were bulky, it was necessary to cluster them through a statistical method. The method chosen was correspondence analysis, which helps with data visualization and allows the view of relationships between the variables of the analysis and the results obtained. This clustering of the data gathered in the process provided clues that support the hypothesis initially raised by the biologists, allowing for the formulation of new interpretations as of how these organisms interact.
Métodos computacionais para a análise de dados de expressão gênica provenientes de uma análise de microarray utilizada para teste farmacológico
(2023-04-28) Costa, Allan Mesquita da; Melo, Jeane Cecília Bezerra de; Costa, Luciana Amaral de Mascena; http://lattes.cnpq.br/2352032088330896; http://lattes.cnpq.br/8499459630583005; http://lattes.cnpq.br/2703136397519338
The advent of the Human Genome Project (HGP), completed in October 2003, propelled the development of techniques for obtaining and analyzing biological data. The need to manage the vast amount of digital genome data was a decisive factor in the growth of a multidisciplinary area of knowledge, Computational Biology. In the two decades following the completion of the HGP, genomes of different organisms were obtained. Regarding mammals, projects such as the 1000 Genomes Project and the Cancer Genome Atlas (TCGA) illustrated the advancement of knowledge in the analysis of complex data. Among the newest techniques, we highlight Microarrays. They provide a significant amount of data in a single experiment, allowing the comparison of complete genomes. The analysis of Microarray data is relatively complex and requires protocols that make this analysis simpler, producing more understandable information. The present study involves the use of computational methods to analyze gene expression data obtained from a Microarray experiment used for pharmacological testing related to breast cancer. To process the raw data, obtained from a spreadsheet containing more than 3216 genes resulting from a Microarray analysis, a script was developed to facilitate the extraction of information from this data and subsequent selection of genes of interest. The program allowed the search for genes involved in the processes of cell death (apoptosis, necrosis, and autophagy), which are determining factors in the success analysis of the tested drug. To categorize the genes involved in the apoptotic, necrotic, and autophagic death cascade, heatmaps were constructed from fold-change values (difference in gene expression for values before and after treatment of cancerous cells with the mesoionic compound), using k-means clustering and hierarchical clustering techniques provided in the Heatmapper program. Results of the study include the development of a script in the R program that resulted in the separation of 20 genes involved in the apoptotic death cascade, six involved in the autophagic death, and seven involved in the necrotic death cascade, as well as the development of three heatmaps, contributing to the biological analysis of data, in addition to making Microarray data processing more accessible.
A vida através de cada bloco: ensino de programação para estudantes universitários através de jogo educativo
(2023-09-08) Andrade, Alcides Cunha de; Melo, Jeane Cecília Bezerra de; http://lattes.cnpq.br/8499459630583005; http://lattes.cnpq.br/9676781312898621
The problem of high dropout rates in higher education computer science courses is a recurring theme in the scientific literature, which indicates difficulties in the programming teaching-learning process as one of the main factors for this index. Another factor identified by these studies is that such difficulties mostly occur when students have their first contact with programming. For this problem, different solutions have been proposed. Among the most promising approaches, Game-Based Learning (GBL) has proven to be an effective methodology. Additionally, in terms of programming languages, a recurring paradigm to assist beginner students in learning is the use of Visual Block Programming. Thus, in this work, based on a literature review on the use of Game-Based Learning for programming education, a game called ”Life Through Each Block” is presented. The game poses challenges to students that need to be solved within a predetermined time limit. Therefore, the present work aims to use GBL in conjunction with Visual Block Programming to propose a game that aids in the programming learning process, targeted at incoming computer science students. To illustrate the proposal, a Minimum Viable Product (MVP) has been developed, containing a stage based on events that refer to situations that can be experienced by this target audience.