GlycoBioinformatics

• Kiyoko F. Aoki-Kinoshita,
• Frédérique Lisacek,
• Niclas Karlsson,
• Daniel Kolarich and
• Nicolle H. Packer

Beilstein J. Org. Chem. 2021, 17, 2726–2728, doi:10.3762/bjoc.17.184

• , Queensland 4222, Australia Department of Molecular Sciences, Macquarie University, Sydney, New South Wales, Australia 10.3762/bjoc.17.184 Keywords: bioinformatics; glycobioinformatics; glycoinformatics; In order to introduce this thematic issue “GlycoBioinformatics” [1] in the Beilstein Journal of Organic

• Chemistry, it would be appropriate to define what we actually mean by this term. This is important not only for newcomers to the field but also in order for researchers that have used or developed “glycobioinformatics” to place their work into a wider context of this diverse field. The term “bioinformatics

• proteomic data into a glycomic context by harvesting information about glyco-related genes and proteins. Glycobioinformatics requires additional information about the expressed glycan, including but not limited to monosaccharide composition, full or partial sequence including linkage and branching structure

Synthesis in the glycosciences II

• Thisbe K. Lindhorst

Beilstein J. Org. Chem. 2012, 8, 411–412, doi:10.3762/bjoc.8.45

• the characteristics of carbohydrate assembly. Furthermore, the field of glycobioinformatics has been recently invented and has started to assist researchers in managing an unprecedented number of structures and amount of biological information [15]. In this second captivating Thematic Series, the