Glycans in Structural and Computational Systems Biology
Glycan sequences cannot be described by a simple linear one-letter code as each pair of monosaccharides can be linked in several ways and branched structures can be formed. Few of the bioinformatics algorithms developed for genomics or proteomics can be directly adapted for glycomics. The development of algorithms, which allow a rapid, automatic interpretation of mass spectra to identify glycan structures, is currently the most active field of research. The development and use of informatics tools and databases for glycobiology and glycomics research has increased considerably in recent years. In terms of bioinformatics in glycobiology, there are several paths of research that are currently in progress.
- Computational approaches in structural biology
- Structural biology In cancer research
- Recent advances in structural biology
- Data integration pathway analysis
- Data mining and data analysis
- Integrating gene expression and metabolomics data
Related Conference of Glycans in Structural and Computational Systems Biology
Glycans in Structural and Computational Systems Biology Conference Speakers
Recommended Sessions
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- Glycobiology and Glycochemistry
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- Glycoconjugates, Glycomics and Transcriptomics
- Glycosciences and Monosaccharides
- Mass Spectrometry Analysis
- Structural Bioinformatics and Proteomics
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