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English Information

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Authors
# Name
1 João Vitor de Moraes(joaovitormoraes@id.uff.br)
2 Layse Castro(laysegomes@id.uff.br)
3 Daniel de Oliveira(danielcmo@ic.uff.br)
4 Isabel Rosseti(rosseti@ic.uff.br)

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Reference
# Reference
1 Agrawal, R. and Srikant, R. (1994). Fast algorithms for mining association rules. In Proceedings of the 20th VLDB, pages 487–499.
2 Baker, K. S., Jauneikaite, E., et al. (2023). Genomics for public health and international surveillance of antimicrobial resistance. The Lancet Microbe, 4(12):e1047–e1055.
3 Deepak, A., Fernández-Baca, D., et al. (2014). Evominer: frequent subtree mining in phylogenetic databases. Knowl. Inf. Syst., 41(3):559–590.
4 dos Santos, V., de Oliveira, D., et al. (2025). Mind the context: Enriching knowledge graphs with rules and mappings. In IEEE ICKG, Cyprus, 2025, pages 59–66. IEEE.
5 Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates.
6 Grahne, G. and Zhu, J. (2003). Efficiently using prefix-trees in mining frequent itemsets. In Proc. of FIMI ’03, CEUR Workshop Proceedings.
7 Marx, V. (2013). The big challenges of big data. Nature, 498(7453):255–260.
8 Metzker, M. L. (2010). Sequencing technologies — the next generation. Nature Reviews Genetics, 11(1):31–46.
9 Ocaña, K. A. C. S., de Oliveira, D., et al. (2012). Discovering drug targets for neglected diseases using a pharmacophylogenomic cloud workflow. In 8th IEEE e-Science, pages 1–8. IEEE Computer Society.
10 O’Leary, N. A., Cox, E., et al. (2024). Exploring and retrieving sequence and metadata for species across the tree of life with ncbi datasets. Scientific Data, 11(1):732.
11 Zadra, N., Rizzoli, A., and Rota-Stabelli, O. (2024). Comprehensive phylogenomic analysis of zika virus: Insights into its origin, past evolutionary dynamics, and global spread. Virus Research, 350:199490. Epub 2024 Nov 8.