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Meeting Abstract

Bioinformatics in Glycoproteomics – Challenges, Frontiers and Solutions


Rapp,  E.
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Kolarich, D., Rapp, E., & Packer, N. (2011). Bioinformatics in Glycoproteomics – Challenges, Frontiers and Solutions. Glycoconjugate Journal, 28(5 - Special Issue: XXI International Symposium on Glycoconjugates), 251.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-8DC3-9
The development of suitable bioinformatic tools has been a crucial step towards the success of proteomics workflows in the last decade. Software and workflows that allow for automated and reliable identification of proteins from complex mixtures have become familiar companions in proteomics laboratories and the challenges of protein quantitation have also been addressed in a variety of ways. These developments provide scientists with a selection of tools and workflows to choose the most suitable one for their particular research. The inclusion of complex post translational protein modifications such as glycosylation into current automated workflows, however, still poses huge challenges for traditional protein identification algorithms. Different publically as well as commercially available glycoproteomics software tools have been described recently. This part of the glycoproteomics workshop is intended to present an overview of different currently available glycobioinformatic solutions and will discuss their benefi ts and limitations.