Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions

Glycans, the most diverse biopolymer, are shaped by evolutionary pressures stemming from host-microbe interactions. Here, we present machine learning and bioinformatics methods to leverage the evolutionary information present in glycans to gain insights into how pathogens and commensals interact wit...

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Veröffentlicht in:	Cell host & microbe 2021-01, Vol.29 (1), p.132-144.e3
Hauptverfasser:	Bojar, Daniel, Powers, Rani K., Camacho, Diogo M., Collins, James J.
Format:	Artikel
Sprache:	eng
Schlagworte:	bioinformatics deep learning glycans glycobiology host-microbe machine learning
Online-Zugang:	Volltext
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