A Hybrid Approach using Progressive and Genetic Algorithms for Improvements in Multiple Sequence Alignments

Geraldo Francisco Donegá Zafalon, Vitoria Zanon Gomes, Anderson Rici Amorim, Carlos Roberto Valêncio. A Hybrid Approach using Progressive and Genetic Algorithms for Improvements in Multiple Sequence Alignments. In Joaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi, editors, Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 2. pages 384-391, SCITEPRESS, 2021. [doi]

@inproceedings{ZafalonGAV21,
  title = {A Hybrid Approach using Progressive and Genetic Algorithms for Improvements in Multiple Sequence Alignments},
  author = {Geraldo Francisco Donegá Zafalon and Vitoria Zanon Gomes and Anderson Rici Amorim and Carlos Roberto Valêncio},
  year = {2021},
  doi = {10.5220/0010495303840391},
  url = {https://doi.org/10.5220/0010495303840391},
  researchr = {https://researchr.org/publication/ZafalonGAV21},
  cites = {0},
  citedby = {0},
  pages = {384-391},
  booktitle = {Proceedings of the 23rd International Conference on Enterprise Information Systems, ICEIS 2021, Online Streaming, April 26-28, 2021, Volume 2},
  editor = {Joaquim Filipe and Michal Smialek and Alexander Brodsky and Slimane Hammoudi},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-509-8},
}