The Use of Software Visualization Tools for the Identification of PTM Patterns and Artefacts in LC-MS Experiments
Poster Aug 25, 2005
Harald Pettersen Lennart Björkesten and Matthias Berg
Traditional analysis of LC-MS data by reviewing chromatograms and corresponding single or averaged mass spectra is evidently both tedious and difficult. When analyzing multiple proteomics samples, this part of the data analysis is therefore often omitted and only the final list of identified proteins is reviewed. This may lead to unnecessarily complex or even contradictory results.
By representing LC-MS data as a 2D-image as demonstrated in the novel DeCyder™ MS software, it is possible to identify phenomena, which are very difficult to recognize using conventional LC-MS data representation. By discarding appropriate phenomena as artefacts the quality of the result will be significantly improved.
Automating Mass Spectrometry-Based Quantitative Glycomics using Tandem Mass Tag (TMT) Reagents with SimGlycanPoster
One of the emerging trends in glycomics research is the innovation related to accurate MS based quantitative analysis of glycans.READ MORE
Can a Unified Laboratory Intelligence Approach be Applied to E&L Studies?Poster
Informatics technologies and software automation of workflows are becoming key strategic considerations for identification, elucidation, and characterization of extractables and leachables.READ MORE
Optimization of a Vacuum Ultraviolet Photoionization source for GC used with a High Resolution TOFMSPoster
-Tune solution allows optimization of ion source parameters for
both proton transfer and direct ionization
-Independent ionization processes exist for M+ and MH+
-Optimizing for dopant signal intensity yields inferior results
-Degree of fragmentation remains relatively constant over a
range of source conditions