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Deyvid Emanuel Amgarten

CV Lattes GoogleMyCitations ResearcherID ORCID



Birthplace: Brazil

Currently, a PhD student by the Interunits in Bioinformatics Graduate Program at University of Sao Paulo (2017). MSc in bioinformatics by the same graduate program (2016). The dissertation involved the computational analysis of prokaryotic viruses (bacteriophages) in metagenomic and metatransciptomic samples and isolated phages from composting. Was a visiting researcher (2016) at the Viral Bioinformatics Resource Center, in Victoria Canada. BSc in Biological sciences by the Biosciences Institute of the Universidade de São Paulo, Brazil (2013). During the course, has developed a component of automatic annotation of metabolic pathways (KEGG) for the EGene platform. Has experience in computational characterization of sequences, development of tools, in vrology and metagenomics. Has a good knowledge about programming in C and Perl, Python and basic JAVA. For for information, please refer to: https://sites.google.com/view/deyvid/ (Source: Lattes Curriculum)

Research grants
Scholarships in Brazil
Scholarships abroad
FAPESP support in numbers * Updated December 07, 2019
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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (2)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Publications2
Citations17
Cit./Article8.5
Data from Web of Science

AMGARTEN, DEYVID; MARTINS, LAYLA FARAGE; LOMBARDI, KAREN CRISTINA; ANTUNES, LUCIANA PRINCIPAL; SILVA DE SOUZA, ANA PAULA; NICASTRO, GIANLUCCA GONCALVES; KITAJIMA, ELLIOTT WATANABE; QUAGGIO, RONALDO BENTO; UPTON, CHRIS; SETUBAL, JOAO CARLOS; et al. Three novel Pseudomonas phages isolated from composting provide insights into the evolution and diversity of tailed phages. BMC Genomics, v. 18, . Web of Science Citations: 6. (15/14334-3, 11/50870-6, 14/16450-8)

AMGARTEN, DEYVID; BRAGA, LUCAS P. P.; DA SILVA, ALINE M.; SETUBAL, JOAO C.. MARVEL, a Tool for Prediction of Bacteriophage Sequences in Metagenomic Bins. FRONTIERS IN GENETICS, v. 9, . Web of Science Citations: 11. (11/50870-6, 14/16450-8)

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