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"Frequent glycan structure mining of influenza virus data revealed a ..."

Tomomi Ichimiya et al. (2014)

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DOI: 10.1093/BIOINFORMATICS/BTT573

access: closed

type: Journal Article

metadata version: 2022-10-02

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  - https://dblp.org/rec/journals/bioinformatics/IchimiyaNTKA14
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. Bioinform. 30(5): 706-711 (2014)

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