Integrating ViralFlow and MacWorP for Automated Viral Genomic Surveillance Workflows
Resumo
We present an integrated web platform combining ViralFlow and MacWorP for automated viral genomic surveillance through distributed workflow orchestration and accessible web-based execution. A proof-of-concept deployment demonstrated the feasibility of integrating specialized viral genomics pipelines within a scalable workflow management environment. Preliminary results indicate gains in accessibility, reproducibility and distributed processing, supporting the potential of the platform as a modular framework for genomic surveillance in public health laboratories.Referências
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da Silva et al. 2024. da Silva, A. F., da Silva Neto, A. M., Aksenen, C. F., Jeronimo, P. M. C., Dezordi, F. Z., Almeida, S. P., Costa, H. M. P., Salvato, R. S., Campos, T. d. L., Wallau, G. d. L., et al. (2024). Viralflow v1. 0—a computational workflow for streamlining viral genomic surveillance. NAR genomics and bioinformatics, 6(2):lqae056.
Di Tommaso et al. 2017. Di Tommaso, P. et al. (2017). Nextflow enables reproducible computational workflows. Nature Biotechnology, 35(4):316–319.
Gardy and Loman 2018. Gardy, J. L. and Loman, N. J. (2018). Towards a genomics-informed, real-time, global pathogen surveillance system. Nature Reviews Genetics, 19(1):9–20.
Hadfield et al. 2018. Hadfield, J. et al. (2018). Nextstrain: real-time tracking of pathogen evolution. Bioinformatics, 34(23):4121–4123.
Shepard et al. 2016. Shepard, S. S. et al. (2016). Viral deep sequencing needs an adaptive approach: Irma. BMC Genomics, 17(1):708.
Publicado
01/06/2026
Como Citar
PINHO, Raphael; ALMEIDA, Sintia; SIMÕES, Roberto; KAHWAGE, Cassia; AMARIS, Marcos.
Integrating ViralFlow and MacWorP for Automated Viral Genomic Surveillance Workflows. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 26. , 2026, Ouro Preto/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 1517-1522.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2026.21710.
