Diego Mariano
Nacionalidad: Brasileño | Fecha de nacimiento: 1990 | Contacto: diegocbmariano
Diego Mariano es analista de sistemas, investigador y docente de cursos en línea sobre lenguajes de programación, bases de datos y bioinformática. Además, se graduó en sistemas de información y tiene una maestría y doctorado en bioinformática por la Universidade Federal de Minas Gerais (Brasil).
Orcid iD | Publons | ResearchGate
EDUCACIÓN
Doctorado en Bioinformática 2019
Universidade Federal de Minas Gerais, UFMG, Brazil
Maestría en Bioinformática 2015
Universidade Federal de Minas Gerais, UFMG, Brazil
Graduación en sistemas de información 2012
Faculdade Anhanguera de Belo Horizonte, Brazil
EXPERIENCIA LABORAL
Becario postdoctoral 2019-*
Departamento de Ciencias de la Computación, UFMG (Brasil)
Analista de investigación 2015-2019
Departamento de Ciencias de la Computación, UFMG (Brasil)
Asistente de investigación 2013-2015
Instituto de Ciencias Biológicas, UFMG (Brasil)
HABILIDADES
- Programación
- Análisis de los datos
- Web designer
- Gestión de base de datos
- Hardware
- Portugués (fluido)
- Inglés (intermedio)
- Español (básico)
- Francés (básico)
Revisor del periódico
Bioinformatics (ISSN 1460-2059) 2019-* | Publons
ARTÍCULOS MÁS RELEVANTES
MARIANO, DIEGO; et al. Using Computers to Improve Biofuel Production. Frontiers for Young Minds, v. 10, p. 20020333, 2022.
RODRIGUES, DR; MARIANO, DCB; et al. ToxAnalyzer: A user-friendly web tool for interactive data analysis and visualization of chemical compounds from the Comparative Toxicogenomics Database (CTD)-. Computational Toxicology, v. 19, p. 100170, 2021.
Da Silva, AL; ABREU, AP; MARIANO, DIEGO; et al. Organizing Events in Bioinformatics World: Insights Into Organizing Events in Bioinformatics. Frontiers in Bioinformatics, v. 1, p. 34, 2021.
BATISSOCO, AC; […]; MARIANO, DCB; et al. Molecular and genetic characterization of a large Brazilian cohort presenting hearing loss. Human Genetics, v. 1, p. 1, 2021.
MARIANO, DIEGO. Augmented reality applied to visualization of biological data. Academia Letters, v. 1, p. 3251, 2021.
MARIANO, DIEGO; et al. Glutantβase: a database for improving the rational design of glucose-tolerant β-glucosidases. BMC Molecular and Cell Biology, v. 21, p. 50, 2020.
BARROSO, JOSÉ RENATO M. S.; MARIANO, DIEGO. Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures. BMC BIOINFORMATICS, v. 21, p. 275, 2020.
DE LIMA, LHF; FERNANDEZ-QUINTÉRO, M; ROCHA, REO; MARIANO, DCB; DE MELO-MINARDI, RC; LIEDL, KR. Conformational flexibility correlates with glucose tolerance for point mutations in β-glucosidases – A computational study. Journal of Biomolecular Structure and Dynamics, v. 1, p. 1-20, 2020.
MARIANO, DIEGO; et al. A Computational Method to Propose Mutations in Enzymes Based on Structural Signature Variation (SSV). INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v. 20, p. 333, 2019.
MARIANO, DIEGO; et al. Introducing Programming Skills for Life Science Students. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION, v. 1, p. 21230, 2019.
COSTA, LSC; MARIANO, DCB; et al. Molecular Dynamics Gives New Insights into the Glucose Tolerance and Inhibition Mechanisms on β-Glucosidases. MOLECULES, v. 24, p. 3215, 2019.
GOMIDE, ACP; IBRAIM, IC; ALVES, JTC; DE SÁ, PG; DE OLIVEIRA SILVA, YR; SANTANA, MP; SILVA, WM; FOLADOR, EL; MARIANO, DCB; et al. Transcriptome analysis of Corynebacterium pseudotuberculosis biovar Equi in two conditions of the environmental stress. GENE, v. 8, p. 1, 2018.
SILVA, MARCOS F.M. ; MARTINS, PEDRO M. ; MARIANO, DIEGO C.B.; et al. Proteingo: motivation, user experience, and learning of molecular interactions in biological complexes. ENTERTAINMENT COMPUTING, v. 1, p. 001, 2018.
HURTADO, RAQUEL ENMA; ABURJAILE, FLAVIA; MARIANO, DIEGO; et al. Draft Genome Sequence of a Virulent Strain of Pasteurella Multocida Isolated From Alpaca. JOURNAL OF GENOMICS, v. 5, p. 68-70, 2017.
MARIANO, D.C.B.; et al. Characterization of glucose-tolerant β-glucosidases used in biofuel production under the bioinformatics perspective: a systematic review. GENETICS AND MOLECULAR RESEARCH, v. 16, p. 1-19, 2017.
ALMEIDA, SINTIA; TIWARI, SANDEEP; MARIANO, DIEGO; et al. The genome anatomy of Corynebacterium pseudotuberculosis VD57 a highly virulent strain causing Caseous lymphadenitis. Standards in Genomic Sciences, v. 11, p. 29, 2016.
MARIANO, DIEGO; et al. Whole-genome optical mapping reveals a mis-assembly between two rRNA operons of Corynebacterium pseudotuberculosis strain 1002. BMC Genomics, v. 17, p. 315, 2016.
DE AGUIAR, EDGAR LACERDA ; MARIANO, D. C. B. ; et al. Complete genome sequence of Streptococcus agalactiae strain GBS85147 serotype of type Ia isolated from human oropharynx. Standards in Genomic Sciences, v. 11, p. 1, 2016.
MARIANO, DIEGO C. B.; et al. SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology. BMC Bioinformatics, v. 17, p. 65-72, 2016.
ABREU, VINICIUS A. C.; ALMEIDA, SINTIA; TIWARI, SANDEEP; HASSAN, SYED SHAH; MARIANO, DIEGO; et al. CMRegNet-An interspecies reference database for corynebacterial and mycobacterial regulatory networks. BMC Genomics, v. 16, p. 452, 2015.
MARIANO, DIEGO CB; et al. MapRepeat: an approach for effective assembly of repetitive regions in prokaryotic genomes. BIOINFORMATION (ONLINE) (CHENNAI), v. 11, p. 276-279, 2015.
CAPÍTULO DEL LIBRO
OLIVEIRA JUNIOR, A. F. ; BENEVIDES, LEANDRO DE JESUS ; MARIANO, D. C. B. ; AGUIAR, E. L. ; SOUSA, T. J. ; SILVA, A. ; AZEVEDO, V. A. C. . Bioinformatics. In: Zahoorullah S MD. (Org.). A Textbook of Biotechnology. 1ed.: SMGroup, 2015, v. , p. 15-32.
