Raffael Azevedo de Carvalho Oliveira

Raffael Azevedo de Carvalho Oliveira

PhD. student,

Bioinformatics, PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: raffael.azevedo@gmail.com

Lattes: http://lattes.cnpq.br/7034881822577095

Graduated in Biomedicine (Medical Technology) by Federal University of Rio Grande do Norte (2014). Master of Sciente in Biochemstry by Federal University of Rio Grande do Norte (2017) Currently student of PhD Degree on Bioinformatics, of Federal University of Rio Grande do Norte.

Project Abstract

Sepsis is the collective of clinical manifestations which depends on inflammatory response from the patient. After infection, the pathogenic agent triggers a immune response. This response may evolve to a hyperinflammatory state, depending on which cytokines are produced by the patient. The immune pattern will drive the response to different states, that may evolve to systemic shock, organ disfunction and severe sepsis. This problem is a matter of discussion, since there is few mollecular signatures that could help in identification of sepsis, this work intends to use systems biology tools to assess transcriptomic data related to sepsis. Using regulatory networks, our objective is to identify transcription masters regulators (MA) directly involved with sepsis response, and build the regulatory network of the genes related to sepsis response, using public databases. By using mutual information, we intend to infer correlations and coexpression patterns of thousand of genes. Taken together, this information could reveal which transcription factors potentially inflluence genic signatures, making possible infer causal relation between pathologic state and regulatory genes. This approach may assist in discovering new targets for prognostic and/or treatment.
Clovis Ferreira dos Reis

Clovis Ferreira dos Reis

PhD. student,

Bioinformatics, PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: cfreis@ufrn.edu.br

Lattes: http://lattes.cnpq.br/5487049518249525

Projetct Abstract

Micro-organisms are the most numerous group in the planetary biome. With the cheapening of sequencing process an tecnologies, the metagenomical databases starts to grow up faster than those microbiome's information can be analised and interpreted. New tecnologies and process must to be developed to process rapidly an efficiently. In this context this project will develop bioinformatic tools to analise and show the systemic metabolic interactions beteween genes and their products into a soil metagenome.
Felipe De Lima Almeida

Felipe De Lima Almeida

PhD student,

Bioinfomatics ,PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: felipe_limacb@yahoo.com.br

Lattes: http://lattes.cnpq.br/3011196178202548

Research areas: Biology, Bioinformatics.

Doctoral student in Bioinformatics at the Federal University of Rio Grande do Norte - UFRN, with line of research in Genomics. Member of the Association of Bioinformatics and Computational Biology (AB3C). Master of Science and Mathematics Education Teaching with line of research in Scientific Culture, Information Technology and Communications at the State University of Paraíba (2016). Specialist in New Technologies in Education from the State University of Paraíba (2014). Degree in Biological Sciences from the State University of Paraíba (2013). Member of the Digital Technology Research Group and Knowledge Acquisition (TDAC) of the State University of Paraiba and the research group Information, Knowledge and Technology of the Federal University of São Carlos - UFSCar. It has experience in Genomics, Technology and Education.

Projetct Abstract

Investigate oxidative stress in sugarcane plants using various tools of bioinformatics to determine the metabolic pathways, interactions between proteins and searches of genes / proteins that may be important to this type of stress and common to other stresses. It also investigates the possible interactions between proteins expressed its mapping interactomas, and identification of potential proteins that can be utlizadas as markers that biological stress process. Thus, it aims to better understand the physiology of the plant in response to stress conditions, as well as provide subsidies for professional classical genetic improvement select and cultivate those that tolerate this condition, as well as day provide subsidies to assist farmers in managing this culture and therefore provide the increase in production standard.
Vandeclécio Lira da Silva

Vandeclécio Lira da Silva

PhD student,

Bioinfomatic ,PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: vandeclecio@neuro.ufrn.com

Lattes: http://lattes.cnpq.br/4443155810974283

Research areas: Bioinformatics, Computer Science, genetics, metagenomics.

PhD student on Bioinformatics (PPGBIONF), IMD-UFRN. Currently developing a project in the area of Metagenomics applied in the hospital and in the study of cancer. Master in Genetics and Molecular Biology emphasis on Bioinformatics, UFPA (2016). Bachelor in Computer Science, UERN (2013). Student researcher at the Brain Institute - UFRN (2015). With experience in the fields of Computer Science and Bioinformatics. Experience with RNA-Seq data analysis, mutation, polymorphism, and transcription factors

Project Abstract

The metagenomics makes use of DNA sequencing technologies to discover the existing organisms in a given environment, and can be applied to many scientific and commercial purposes. The cheapening of next generation sequencing technologies (NGS) has provided a major boost in metagenomics research also increasing the demand for professionals working in the area of ​​bioinformatics. The metagenomic work indispensably need professionals with bioinformatician profile, able to use and develop programs to analyze the large amount of data that are generated by NGS. With the widespread use of antibiotics since their discovery, bacteria and other microorganisms have acquired resistance to these agents. The proliferation of these types of hospital micro-organisms has become a major global public health concern both for patients who are at that place, as the risk for epidemic I possible. cancer-related diseases are increasingly in focus and studies addressing new forms of identification and treatments emerge every day. According to the National Cancer Institute (NCI), the head and neck cancer accounts for about 3% of all cancers in the United States, most of this cancer starts in the cells of the inner surface of the mouth and neck. The identification of cancer in early stages provides greater efficacy of treatment. This work will develop tools and bioinformatics procedures used in metagenomics to characterize bacteria that might be providing some antimicrobial resistance in a hospital chosen city, as well as identify possible genetic biomarkers for the identification and monitoring of bacterial species, it will also be developed in this project one metagenomic pipeline aimed to characterize a cancer of the head signature profile and neck through the microbiota present in the mouth of cancer patients, we will also identify biomarkers for head and neck cancer.
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