SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

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

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Abdelhamid, E., Canim, M., et al. (2017). Incremental frequent subgraph mining on large evolving graphs. IEEE Trans. on Know. and Data Eng., 29(12):2710–2723.
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 Bostanoğlu, B. E. and Abuzayed, N. (2024). Dynamic frequent subgraph mining algorithms over evolving graphs: a survey. PeerJ Computer Science, 10:e2361.
4 Bryant, D. (2003). A classification of consensus methods for phylogenetics. DIMACS series in discrete mathematics and theoretical computer science, 61:163-184.
5 Bukhari, S. A. C., Mandell, J., et al. (2019). A linked data graph approach to integration of immunological data. Proc. of the IEEE BIBM.
6 Deepak, A., Fernández-Baca, D., et al. (2014). Evominer: frequent subtree mining in phylogenetic databases. Knowl. Inf. Syst., 41(3):559-590.
7 Felsenstein, J. (2004). Inferring Phylogenies. Sinauer Associates.
8 Fitch, W. M. (1971). Toward defining the course of evolution: Minimum change for a specific tree topology. Systematic Zoology, 20(4):406-416.
9 Grahne, G. and Zhu, J. (2005). Fast algorithms for frequent itemset mining using fp-trees. IEEE Transactions on Knowledge and Data Engineering, 17(10):1347-1362.
10 Guedes, T., Ocaña, K., et al. (2017). Sciphylominer: um workflow para mineração de dados filogemônicos de protozoários. In XI BreSci, pages 69-76, São Paulo, Brasil. SBC.
11 Holder, M. T., Zwickl, D. J., et al. (2008). Evaluating the robustness of phylogenetic methods to among-site variability in substitution processes. Phil. Trans. of the Royal Society B: Biological Sciences, 363(1512):4013-4021.
12 Margush, T. and McMorris, F. (1981). Consensusn-trees. Bulletin of Mathematical Biology, 43(2):239-244.
13 Setubal, J. C. and Meidanis, J. (1997). Introduction to computational molecular biology. PWS Publishing Company.
14 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.