Using Scheduled MRM algorithm in SCIEX OS software by Christie Hunter | Aug 6, 2021 | Data acquisition, QTRAP / Triple Quad, SCIEX information, SCIEX OS software, TechnologyWhen very large numbers of MRM transitions are monitored in a single acquisition method, the time spent acquiring data on a single analyte drops significantly. Thus, it is typical to schedule the acquisition of MRM transitions only around their time of elution, such...
What are my normalization options in MarkerView software and when should I use them? by Christie Hunter | Aug 6, 2021 | Algorithms, Data processing, MarkerView, SCIEX information, TechnologyIn an LC-MS experiment there are multiple sources of variance that can confound the quality of your results. This variation can be biological e.g. differences between treated and control groups, but can also be non-biological, usually from small variations in...
How does metadata persist from the Analyst software batch into MarkerView software? by Christie Hunter | Aug 6, 2021 | Data acquisition, MarkerView, SCIEX information, TechnologyDid you know that MarkerView software can pull information directly from the metadata of your sample datafiles that can help with downstream data processing? To facilitate this, when building your batch in Analyst software, make sure to define your experimental groups...
What is the t-test and when should I use it? by Christie Hunter | Aug 6, 2021 | Algorithms, Data processing, MarkerView, SCIEX information, TechnologyA t-test (sometimes called Student’s t-test) is used to determine if the means of two sample groups are significantly different. So, for LC-MS data, we would typically use a t-test to find out if the amount of our variable of interest (protein, peptide, small...
What is principal component variable grouping (PCVG) and how do I use it? by Christie Hunter | Aug 6, 2021 | Algorithms, Data processing, MarkerView, SCIEX information, TechnologyIn our previous post we discussed how to interpret the Scores and Loadings Plots produced by PCA. In many cases there are several dimensions that are found to have substantial influence over a specific principal component, and these dimensions are often correlated in...