Pedro Igor Câmara de Oliveira

Pedro Igor Câmara de Oliveira

MSc. student,

Bioinformatics, PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail:

Lattes: http://lattes.cnpq.br/0897489508458779

Pedro is a pharmacist graduated in 2015 at Universidade Federal do Rio Grande do Norte (UFRN). He is currently pursuing a Master of Science degree in Bioinformatics at PPGBIOINFO - UFRN. He is planning on a rational approach to develop new drugs for Chagas' disease treatment.

Project Abstract

Marcel da Câmara Ribeiro Dantas

Marcel da Câmara Ribeiro Dantas

MSc. student,

Bioinformatics, PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: mribeirodantas@lais.huol.ufrn.br

Lattes: http://lattes.cnpq.br/1623821220022021

 

Marcel is a Computer Engineer with an automation and computer engineering degree obtained from Universidade Federal do Rio Grande do Norte, with over six years of experience in health informatics and biomedical engineering as a researcher at the Laboratory for Technological Innovation in Healthcare. He is currently pursuing a Master of Science degree in Bioinformatics at PPGBIOINFO-UFRN, studying transcriptional regulatory networks in Ewing's Sarcoma under the supervision of PhD. Prof. Rodrigo Dalmolin.

His latest cancer related papers published were:
Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy.
Computer-aided detection system for lung cancer in computed tomography scans: Review and future prospects.

Project Abstract

Diego Arthur de Azevedo Morais

Diego Arthur de Azevedo Morais

MSc. student,

Bioinformatics, PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: arthurvinx@gmail.com

Lattes: http://lattes.cnpq.br/0627546477822130

 

Diego is a computer scientist, he obtained his bachelor's degree from Universidade do Estado do Rio Grande do Norte in 2012, and concluded a specialization course, lato sensu, in computer forensics at Universidade Potiguar in 2017. He is currently pursuing a master's degree in bioinformatics, at PPGBIOINFO-UFRN, researching transcriptional analysis and developing a R package to support his research group.

Project Abstract

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.