Glycomics and Bioinformatics

Glycomics the scientific attempt to characterize and study carbohydrates, is a rapidly emerging branch of science, for which informatics is just beginning. Glycomics requires sophisticated algorithmic approaches. Several algorithms and models have been developed for glycobiology research in the past several years. The development and use of informatics tools and databases for glycobiology and glycomics research has increased considerably in recent years. However, the general development in this field can still be considered as being in its infancy when compared to the genomics and proteomics areas. In terms of bioinformatics in glycobiology, there are several paths of research that are currently in progress. The development of algorithms and software tools for interpretation of glycans to reliably support the characterization of glycan structures for high-throughput applications is the most immediate demand of the glycomics community.

The global glycomics market was valued at $512.38 million in 2014 and poised to grow at a CAGR of 12.62% between 2012 and 2019, to reach $928.11 million in 2019. The rapid increase in research and development expenditure by pharmaceutical and biotech companies, and increased funding in proteomics and glycobiology research will be the two most important growth drivers for this market in the forecast period (2012–2019).

Relevant Conferences:Glycobiology Conferences Biochemistry Conferences

6th International Conference on Bioinformatics, March 29-30, 2016 Valencia, Spain; International Conference on Structural Biology, June 23-24, 2016 New Orleans, USA; World Congress on Amino Acids and Proteins, December 08-09, 2016 Baltimore, USA; International Conference on Nucleic Acids, August 04-06, 2016 Seattle, USA 7th International Conference and Expo on Proteomics, October 24-26, 2016 Rome, Italy; International Conference on Obesity & Chronic Diseases, July 25-27, 2016 Las Vegas USA; International Conference on New Therapeutics for Diabetes and Obesity, April 17-20, 2016 La Jolla, USA; Conference on Plasma Spectrochemistry, January 10-16, 2016 Tucson, USA; Euro Fed Lipid Congress, September 18-21, 2016 Gent, Belgium; Conference on Obesity and Adipose Tissue Biology, February 15-19, 2016 Banff, Canada

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 lack of generally accepted ways to normalize glycan structures and exchange glycan formats hampers an efficient cross-linking and the automatic exchange of distributed data. The upcoming glycomics should accept that unrestricted dissemination of scientific data accelerates scientific findings and initiates a number of new initiatives to explore the data. The development and use of informatics tools and databases for glycobiology and glycomics research has increased considerably in recent years. However, the general development in this field can still be considered as being in its infancy when compared to the genomics and proteomics areas. In terms of bioinformatics in glycobiology, there are several paths of research that are currently in progress. 

  • Gene expression profiling
  • Databases providing Glycoenzyme data
  • Bioinformatics tools for protein analysis
  • Computational biomodelling
  • Molecular Modelling
  • Microarray Gene Expression
  • Applications of genomics and bioinformatics

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Glycomics and Bioinformatics Conference Speakers

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