Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning

Zanuba Hilla Qudrotu Chofsoh, Imam Mukhlash, Mohammad Iqbal, Bandung Arry Sanjoyo. Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning. In Miguel Rocha 0001, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Ana Belén Gil González, editors, Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023), 12th-14th July, 2023, Guimarães, Portugal. Volume 743 of Lecture Notes in Networks and Systems, pages 73-83, Springer, 2023. [doi]

@inproceedings{ChofsohMIS23,
  title = {Progressive Multiple Sequence Alignment for COVID-19 Mutation Identification via Deep Reinforcement Learning},
  author = {Zanuba Hilla Qudrotu Chofsoh and Imam Mukhlash and Mohammad Iqbal and Bandung Arry Sanjoyo},
  year = {2023},
  doi = {10.1007/978-3-031-38079-2_8},
  url = {https://doi.org/10.1007/978-3-031-38079-2_8},
  researchr = {https://researchr.org/publication/ChofsohMIS23},
  cites = {0},
  citedby = {0},
  pages = {73-83},
  booktitle = {Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023), 12th-14th July, 2023, Guimarães, Portugal},
  editor = {Miguel Rocha 0001 and Florentino Fdez-Riverola and Mohd Saberi Mohamad and Ana Belén Gil González},
  volume = {743},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-38079-2},
}