About Vagner Fonseca

vagner.fonseca@gmail.com +27 (0) 79 623 3560


PhD student in Virology at the Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, South Africa. My research interests are the ongoing development of the NGS assembly, phylogenetic analsysis and in the built of a more stable JAVA environment to pre-process host and pathogen sequence data for MicroGWAS, ViroGWAS and GWAS.

Vagner is active in Information Technology sector since 2004 with: Systems Analysis and Development, Project Management and IT Infrastructure Projects. Experienced in large projects and high complexity, covering the following areas of activity: Analysis and systems development (Web/Desktop/Mobile), Analysis and Development for Databases (Administration, Modeling, Data Migration, Tuning SQL, Optimization, Functions, Triggers and Stored Procedures), Development team manager, identification of functional prerequisites (APF, RUP, UML), Systems Auditing, Software Quality, Agile Methods, Configuration and Windows/Linux Servers Maintenance, Configuration Management and Continuous Integration Servers


KRISP - KwaZulu-Natal Research and Innovation Sequencing Platform, UKZN, Durban, South Africa.

Department of Virology, National Health Laboratory Service (NHLS), Durban, South Africa (PhD student).


Master of Biotechnology in Health and Investigative Medicine, Oswaldo Cruz Foundation, 2016

Bachelor of Information Systems, University of the State of Bahia, 2013


Circulation of chikungunya virus East/Central/South African lineage in Rio de Janeiro, Brazil.
Xavier J, Giovanetti M, Fonseca V, Thézé J, Gräf T, Fabri A, Goes de Jesus J, Lima de Mendonça MC, Damasceno Dos Santos Rodrigues C, Mares-Guia MA, Cardoso Dos Santos C, Fraga de Oliveira Tosta S, Candido D, Ribeiro Nogueira RM, Luiz de Abreu A, Kleber Oliveira W, Campelo de Albuquerque CF, Chieppe A, de Oliveira T, Brasil P, Calvet G, Carvalho Sequeira P, Rodrigues Faria N, Bispo de Filippis AM, Alcantara LCJ, PLoS One (2019), 14(6):e0217871:.

A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes.
Fonseca V, Libin PJK, Theys K, Faria NR, Nunes MRT, Restovic MI, Freire M, Giovanetti M, Cuypers L, Nowé A, Abecasis A, Deforche K, Santiago GA, Siqueira IC, San EJ, Machado KCB, Azevedo V, Filippis AMB, Cunha RVD, Pybus OG, Vandamme AM, Alcantara LCJ, de Oliveira T, PLoS Negl Trop Dis (2019), 13(5):e0007231: doi: 10.1371/journal.pntd.0007231.

Genome Detective: An Automated System for Virus Identification from High-throughput sequencing data..
Vilsker M, Moosa Y, Nooij S, Fonseca V, Ghysens Y, Dumon K, Pauwels R, Alcantara LC, Vanden Eynden E, Vandamme AM, Deforche K, de Oliveira T, Bioinformatics (2019), doi: 10.1093/bioinformatics/bty695:.

Genomic and epidemiological monitoring of yellow fever virus transmission potential.
Faria NR, Kraemer MUG, S C Hill, J Goes de Jesus, R S Aguiar, F C M Iani, J Xavier, J Quick, L du Plessis, S Dellicour, J Thézé, R D O Carvalho, G Baele, C-H Wu, P P Silveira, M B Arruda, M A Pereira, G C Pereira, J Lourenço1, U Obolski, L Abade, T I Vasylyeva, M Giovanetti, D Yi, D J Weiss, G R W Wint, F M Shearer, S Funk, B Nikolay, Fonseca V, T E R Adelino, M A A Oliveira, M V F Silva, L Sacchetto, P O Figueiredo, I M Rezende, E M Mello, R F C Said, D A Santos, M L Ferraz, M G Brito, L F Santana, M T Menezes, R M Brindeiro, A Tanuri, F C P dos Santos, M S Cunha, J S Nogueira, I M Rocco, A C da Costa, S C V Komninakis, V Azevedo, A O Chieppe, E S M Araujo, M C L Mendonça, C C dos Santos, C D dos Santos, A M Mares-Guia, R M R Nogueira, P C Sequeira, R G Abreu, M H O Garcia, A L Abreu, O Okumoto, E G Kroon, C F C de Albuquerque, K Lewandowski, S T Pullan, M Carroll, de Oliveira T, E C Sabino, R P Souza, M A Suchard, P Lemey, G S Trindade, B P Drumond, A M B Filippis, N J Loman, S Cauchemez, Alcantara LCJ, Pybus OG , Science (2018), DOI: 10.1126/science.aat7115:.

Automated profiling of the human virome from raw metagenomic data.
Moosa Y, Vilsker M, Vanden Eyden E, Fonseca V, Nooij S, Deforche K, de Oliveira T, Virus Evolution (2017), : doi: 10.1093/ve/vew036.033.

Human Retrovirus Codon Usage from tRNA Point of View: Therapeutic Insights.
Frias D, Monteiro-Cunha JP, Mota-Miranda AC, Fonseca V, de Oliveira T, Galvao-Castro B Alcantara LCJ, Bioinformatics and Biology Insights (2013), 7:1-11.

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