Glycans in Structural and Computational Systems Biology

Glycan sequences cannot be described by a simple linear one-letter code as each duplet of monosaccharide’s can be associate in several ways and tributary 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 various ways of research that are presently in advancement

  • 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

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