MicroGlycoDB: A database of microbial glycans using Semantic Web Technologies

Authors

Sunmyoung Lee, Soka University
Louis-David Leclercq, University of Lille
Yann Guerardel, University of Lille
Christine M Szymanski, University of Georgia
Thomas Hurtaux, Washington University School of Medicine in St. Louis
Tamara L Doering, Washington University School of Medicine in St. Louis
Takane Katayama, Kyoto University
Kiyotaka Fujita, Kagoshima University
Kazuhiro Aoki, Medical College of Wisconsin
Kiyoko F Aoki-Kinoshita, Soka University

Journal

BBA Advances

Publication Date

1-1-2024

Volume

6

First Page

100126

Document Type

Open Access Publication

DOI

10.1016/j.bbadva.2024.100126

Rights and Permissions

Lee S, Leclercq LD, Guerardel Y, Szymanski CM, Hurtaux T, Doering TL, Katayama T, Fujita K, Aoki K, Aoki-Kinoshita KF. MicroGlycoDB: A database of microbial glycans using Semantic Web technologies. BBA Adv. 2024 Nov 30;6:100126. doi: 10.1016/j.bbadva.2024.100126. © 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/)

Recommended Citation

Lee, Sunmyoung; Leclercq, Louis-David; Guerardel, Yann; Szymanski, Christine M; Hurtaux, Thomas; Doering, Tamara L; Katayama, Takane; Fujita, Kiyotaka; Aoki, Kazuhiro; and Aoki-Kinoshita, Kiyoko F, "MicroGlycoDB: A database of microbial glycans using Semantic Web Technologies." BBA Advances. 6, 100126 (2024).
https://digitalcommons.wustl.edu/oa_4/6325

Department

ICTS (Institute of Clinical and Translational Sciences)