Table of Contents

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2025-04-21
Raw data
Skyline documents

Raw data


This folder contains raw data for the manuscript "Comparison of unit resolution versus high-resolution accurate mass for parallel reaction monitoring". The files are organized into folders, each containing subfolders with the raw data and the method files used. The folder "dia" contains the files used to create a chromatogram library and calibrate that library on the current instrument. The folder "matrix_matched" contains all files used to generate matrix matched dilution curves by diluting human plasma in chicken serum (see methods section). The folder "replicate_injections" contains all files used in performing 5 replicate injections with both the linear ion trap and Orbitrap using precursor isolation windows of 0.7 and 1.7 Th.




Skyline documents


All Skyline documents used for analysis are included in the Targeted MS Runs section and described briefly below:

Skyline document Description Raw data folder
qLITvsqOT_precision_final_2020-12-30_07-35-14.sky.zip Replicate injections in linear ion trap and Orbitrap using precursor isolation windows of 0.7 and 1.7 Th replicate_injections
qLITvsqOT_matrix_matched_originaltransitions_LIT_2021-04-27_14-24-59.sky.zip Matrix-matched dilution curves in linear ion trap using original transition set matrix_matched
qLITvsqOT_matrix_matched_originaltransitions_OT_2021-04-27_14-23-49.sky.zip Matrix-matched dilution curves in Orbitrap using original transition set matrix_matched
qLITvsqOT_matrix_matched_alltransitions_LIT_2021-04-27_14-13-12.sky.zip Matrix-matched dilution curves in linear ion trap with all possible transitions matrix_matched
qLITvsqOT_matrix_matched_alltransitions_OT_2021-04-27_14-18-08.sky.zip Matrix-matched dilution curves in Orbitrap with all possible transitions matrix_matched

Subsequent processing of the data was done externally, and with the code available here. Skyline documents include calibration curves, but limit of quantitation was determined externally with the method described by Pino et al. (2020).