There is currently a significant demand for glycomic software which enables rapid and accurate data analysis. The advances over recent years in mass spectrometry instrumentation and throughput has resulted is researchers being able to produce very large amounts of data in relatively short time periods. Since informatics developments have not kept pace with the advances in analytical technologies, data analysis now represents a major bottleneck in glycomics-based discoveries. This is especially problematic in the search for glycomic markers of cancer because the biological samples are analyzed in multiple replicates, creating a considerable amount of data which must be compared and statistically analyzed to evaluate the significance of the results. Thus, there is a significant need for software which assists researchers in analyzing their complex glycomics data in a high-throughput manner. The research proposed in this application is to design an easy to use software application that will allow the automated assignment of MSn spectra obtained for O-linked and N-linked glycans. We have previously developed a prototype computer algorithm that can take an MS/MS spectrum and annotate it by identifying the O-glycan(s) or N-glycan(s) that are most likely to have generated it. The specific aims of this proposal are to evolve this prototype software into a more general software package that we hope will ultimately become widely used by researchers in the glycomics community and even the wider research community.
NIH ExPorter
NIH ExPorter