Analytical methods developed for studying immunoglobulin glycosylation rely heavily on software tailored for this purpose. Many of these tools are now used in high-throughput settings, especially for the glycomic characterization of IgG. A collection of these tools, and the databases they rely on, are presented in this chapter. Specific applications are detailed in examples of immunoglobulin glycomics and glycoproteomics data processing workflows. The results obtained in the glycoproteomics workflow are emphasized with the use of dedicated visualizing tools. These tools enable the user to highlight glycan properties and their differential expression
The effective treatment of autoimmune disorders can greatly benefit from disease-specific biomarkers...
As every glycobiologist knows, the analysis of glycans suffers; compared to proteomics, from a lack ...
High-throughput methods to identify and quantify glycans in a given sample are rare. We have optimis...
The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current ...
This dissertation describes the development of glyco-bioinformatics tools that facilitate the high-t...
Experimental techniques to identify and quantify glycan structures in a given sample are continuousl...
In recent years, many algorithms and computational models for analyzing the glycome have appeared in...
Immunoglobulin G (IgG) represents the most abundant antibody class in the human circulation. IgG con...
Antibody glycosylation has been shown to change with various processes. This review presents mass sp...
To monitor the Fc glycosylation of therapeutic immunoglobulin G in bioprocess development, product c...
Die hier vorliegende, kumulative Dissertation spiegelt die Entwicklung einer robusten Hochdurchsatz-...
Antibody glycosylation analysis has seen methodological progress resulting in new findings with rega...
Glycoinformatics is a small but growing branch of bioinformatics and chemoinformatics. Various resou...
<span style="font-size:12.0pt;font-family:"Times New Roman","serif"; mso-fareast-font-family:Calib...
The development of suitable bioinformatic tools has been a crucial step towards the success of prote...
The effective treatment of autoimmune disorders can greatly benefit from disease-specific biomarkers...
As every glycobiologist knows, the analysis of glycans suffers; compared to proteomics, from a lack ...
High-throughput methods to identify and quantify glycans in a given sample are rare. We have optimis...
The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current ...
This dissertation describes the development of glyco-bioinformatics tools that facilitate the high-t...
Experimental techniques to identify and quantify glycan structures in a given sample are continuousl...
In recent years, many algorithms and computational models for analyzing the glycome have appeared in...
Immunoglobulin G (IgG) represents the most abundant antibody class in the human circulation. IgG con...
Antibody glycosylation has been shown to change with various processes. This review presents mass sp...
To monitor the Fc glycosylation of therapeutic immunoglobulin G in bioprocess development, product c...
Die hier vorliegende, kumulative Dissertation spiegelt die Entwicklung einer robusten Hochdurchsatz-...
Antibody glycosylation analysis has seen methodological progress resulting in new findings with rega...
Glycoinformatics is a small but growing branch of bioinformatics and chemoinformatics. Various resou...
<span style="font-size:12.0pt;font-family:"Times New Roman","serif"; mso-fareast-font-family:Calib...
The development of suitable bioinformatic tools has been a crucial step towards the success of prote...
The effective treatment of autoimmune disorders can greatly benefit from disease-specific biomarkers...
As every glycobiologist knows, the analysis of glycans suffers; compared to proteomics, from a lack ...
High-throughput methods to identify and quantify glycans in a given sample are rare. We have optimis...