Frequent glycan structure mining of influenza virus data revealed a sulfated glycan motif that increased viral infection

Tomomi Ichimiya, Shoko Nishihara, Sayaka Takase-Yoden, Hiroshi Kida, Kiyoko F. Aoki-Kinoshita. Frequent glycan structure mining of influenza virus data revealed a sulfated glycan motif that increased viral infection. Bioinformatics, 30(5):706-711, 2014. [doi]

@article{IchimiyaNTKA14,
  title = {Frequent glycan structure mining of influenza virus data revealed a sulfated glycan motif that increased viral infection},
  author = {Tomomi Ichimiya and Shoko Nishihara and Sayaka Takase-Yoden and Hiroshi Kida and Kiyoko F. Aoki-Kinoshita},
  year = {2014},
  doi = {10.1093/bioinformatics/btt573},
  url = {http://dx.doi.org/10.1093/bioinformatics/btt573},
  researchr = {https://researchr.org/publication/IchimiyaNTKA14},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {30},
  number = {5},
  pages = {706-711},
}