The new version includes:
Improved Shimadzu Native File Support: SimGlycan now accommodates the latest data reading algorithm offered by Shimadzu Corporation for seamless integration and accurate analysis. This change significantly improves the software’s capability in reading Shimadzu's native data file (.lcd), which further helps in more accurate peaklist generation and increases the accuracy of the high throughput glycan identification.
The new version includes:
Improved Raw Data Loading: SimGlycan now accommodates improved raw data loading mechanism to ensure correct charge state assignment for MS/MS scans. This facilitates accurate analysis of data acquired using direct infusion workflow.
The new version includes:
More Accurate LC-MS Peak Detection & Picking: SimGlycan now adopts a more efficient and faster peak picking algorithm with effecient data handling. It enables users to define a charge state range and a minimum number of isotopologues in an isotopic cluster for a valid LC compound.
The new version includes:
Faster LC-MS Peak Picking: With a new improved peak picking algorithm and faster data handling, SimGlycan is now able to process LC-MS/MS data faster and with more efficient and accurate peak picking.
The new version includes:
Improved Data Reading and Peak Picking Algorithm for Experimental Data Files: SimGlycan now offers improved and more accurate assignment of precursor m/z values of MS/MS scans while loading the experimental data file. This algorithm identifies the isotope cluster from MS 1 data and assign m/z of the monoisotopic peak as the precursor m/z of the MS/MS scans. This further enables correct charge state assignment for the MS/MS scans as well. This improvement is available for the following data files:
.raw (DDA) from Waters Corporation
.lcd (QTOF) from Shimadzu Corporation
Analysis Support for Shimadzu's QTOF Data: SimGlycan now supports analysis of QTOF data generated by Shimadzu Corporation LCMS-9030 Quadrupole Time of Flight (QTOF) mass spectrometry (MS) system. The software allows direct loading of their native .lcd file format for glycan identification and further downstream analyses.
Improved High Throughput Search: Time required for high throughput search and loading of identified glycans/ glycopeptides has been significantly reduced enabling you to complete your analysis faster.
Fixes to previously reported issues.
The new version includes the following:
Improved LC-MS Peak Picking Algorithm: An efficient algorithm for detecting LC peaks, and subsequent molecular feature finding from the raw data is now implemented. The improvized algorithm accurately detects LC-compounds along with their isotope envelopes enabling the program to accurately assign precursor m/z values, and their correct charge states for MS/MS scans.
LC-MS Peak Detection and Molecular Feature Finding for Preferred Masslist: You can submit a preferred masslist for peak detection and picking. This functionality significantly reduces the likelihood of LC-peaks not detected for low abundant compounds in complex biological samples.
Support for DRAG Analysis: Dual Reactions for Analytical Glycomics (DRAG ) is a recently reported stable isotope labeling approach for quantifying both neutral and sialylated glycans. The new version of SimGlycan offers an optimized LC peak picking template for researchers working with Orbitrap LC-MS based workflows.
Faster Database Search: The latest version of the program is up to 5 times faster as compared to the previous versions.
The new version includes the following:
Improved Peak Picking Algorithm for Reading Data from Thermo Fisher Scientific Files: SimGlycan now offers improved and more accurate assignment of precursor m/z values of MS/MS scans while loading Thermo Fisher Scientific native .raw files by identifying isotope clusters from MS 1 data. The identified isotope clusters can be exported to a shareable report in Microsoft Excel.
The new version includes the following:
Multiple Biological Source Selection: SimGlycan now enables you to select multiple biological sources while performing MS/MS search in the SimGlycan master database. You can select up to 20 specific sources to have the software report the glycans of interest.
Multiple Databases Selection: The latest version of SimGlycan supports selection of multiple target databases for performing a glycan search. The software reports candidate glycan structures from the selected databases and displays the name of the source databases as well. **
Faster loading of Thermo Fisher Scientific native .raw files using the recently released RawDataReader from the company.
Fixes to the previously reported issues.
** Functionality available in SimGlycan Enterprise Edition
The new version includes the following:
The new version includes the following:
Exclude Monosaccharide(s) Filter: SimGlycan can now filter glycan structures based on monosaccharide residues:
1. SimGlycan Server
Using the web-panel, you can search glycan structures which do not contain specific monosaccharide residues. **
2. SimGlycan Client
You can specify one or multiple monosaccharide residue(s) in the exclusion list while performing a glycan search. The program will not report glycan structures which contain any of the excluded monosaccharide residues in the result. This functionality helps eliminate false positives.
** Available in SimGlycan Enterprise Edition only
The new version includes the following:
Resources
MultiNotch MS3 Approach for Relative Quantification of N-Glycans Using Multiplexed Carbonyl-Reactive Isobaric Tags...
Creating a Mass Spectral Reference Library for Oligosaccharides in Human Milk...
Automated and Rapid Characterization of Low-Molecular-Weight Heparin Oligosaccharides Using TripleTOF 5600 Mass Spectrometer...
SimGlycan: Informatics Support for Automated Characterization of Low-Molecular-Weight...
A Unique Workflow for Glycoprotein Characterization from Sample Preparation to MS/MS Spectral...
SimGlycan Software: A New Predictive Carbohydrate Analysis Tool for MS/MS Data Automated Data Interpretation for Glycan Characterization...
Automating mass spectrometry based glycan identification and quantitation using SimGlycan software
Use SimGlycan for glycan and glycopeptide analysis, glycan structure prediction, glycosylation analysis...