SimLipid®

Performance Testing Report


Performance of the program tested using a PC with the following system configuration:

Operating System: Windows 10 Pro

Processor: Intel (R) Core (TM) i7-7700 CPU @3.6 GHz;

RAM: 64 GB

System Type: 64-bit Operating System


Comparison Between SimLipid v. 6.02 and SimLipid v. 6.03

S. No. Functionality Data Type File Format Instrument Name File Size #Scans/ Peaklists Time Taken to process in
v. 6.02*
Time Taken to process in
v. 6.03
1 Averaging of MS Data (5 ppm tolerance) TOF MS .wiff SCIEX TripleTOF® 5600+ System 315 MB 2774 2400 Minutes 80 Minutes
2 MS Database Search in Batch Mode TOF MS .wiff SCIEX TripleTOF® 5600+ System 315 MB 167 7200 Minutes 630 Minutes
3 MS/MS Database Search in Batch Mode MS/MS All .wiff SCIEX TripleTOF® 5600+ System 782 MB 85118 865 Minutes 330 Minutes
4 MS/MS Database Search in Batch Mode Orbitrap Data .wiff Thermo Fisher Scientific LTQ Orbitrap XL System 37.8 GB 100,000 4500 Minutes 35 Minutes
5 MS1 Quantitation: Model Experimental Design that involves averaging m/z values, and aligning m/z values across peaklists using 10 ppm tolerance TOF MS .wiff SCIEX TripleTOF® 5600+ System 315 MB 14 240 Minutes 30 Minutes
* The performance of the SimLipid v. 6.02 was assessed by removing the limitations pertaining to the number of data files, MS scans, or MS/MS scans that can be processed in batch mode.


Resources

Literature

Trapped Ion Mobility Spectrometry and PASEF Enable In-depth Lipidomics from Minimal Sample Amounts...

Workflow for Fast Lipid Tissue Screening using LESA-FT-ICR-MS...

Read More >>

Posters

Quantitative Macrolipidomics of Human Whole Blood for the Discovery of Novel Biomarkers of Omega-3...

Lipid Profiling of Malaria Samples Using Orbitrap Velos Pro Mass Spectrometer with SimLipid Software...

Read More >>

Application Notes

Phospholipid Analysis Using SimLipid Software...

Untargeted and Targeted Lipidomics Using Ultra-High Resolution Qq-Time-Of-Flight Impact II™...

Read More >>

Webinar

Informatics Support For Mass Spectrometry Based Lipidomics Methods...

Watch Webinar >>


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