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Overview

The goal of the isoorbi R package is to help you process isotopocule measurements from an Orbitrap Isotope Solutions mass spectrometer. It expects .isox files created by IsoX as input.

Installation

You can install the current CRAN version of isoorbi with:

install.packages("isoorbi")

To use the latest updates, you can install the development version of isoorbi from GitHub with:

if(!requireNamespace("pak", quietly = TRUE)) install.packages("pak")
pak::pak("isoverse/isoorbi")

Important: reading .raw files directly is made possible by the rawrr package, which wraps Thermo’s RawFileReader. The first time you read a .raw file, you will be asked to agree to Thermo’s license agreement to proceed.

Show me some code

library(isoorbi)

system.file(package = "isoorbi", "extdata", "testfile_flow.isox") |>
  orbi_read_isox() |>
  orbi_flag_satellite_peaks() |>
  orbi_define_basepeak(basepeak_def = "M0")|> 
  orbi_summarize_results(ratio_method = "sum") |>
  orbi_export_data_to_excel(file = "data_summary.xlsx")

Package structure

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= intensity)orbi_flag_satellite_peaksorbi_flag_weak_isotopoculesorbi_plot_raw_data(y = ratio)orbi_plot_raw_data(y = tic * it.ms)orbi_plot_satellite_peaksorbi_plot_isotopocule_coverage orbi_find_isox orbi_simplify_isox orbi_flag_outliersorbi_segment_blocksorbi_summarize_resultsorbi_analyze_shot_noiseorbi_plot_shot_noiseorbi_export_data_to_exceloutput spreadsheet (.xlsx)orbi_define_blocks_for_dual_inletorbi_define_block_for_flow_injectionorbi_get_blocks_infoorbi_get_isotopocule_coverageorbi_adjust_blockorbi_define_basepeakbasepeakratiomethodfileinformation functionsprocessing functionsisoorbi core functionsauxiliary functions(optional)visualization functionscore functions, essentialinput from userisotopocule file(s) (.isox)raw data file(s) (.raw)peak list (.tsv)IsoXdata filesotherstand-aloneexternal programtext (e.g., tsv)Excel

Getting help

If you encounter a bug, please file an issue with a minimal reproducible example on GitHub.

For questions and other discussion, please use the isoorbi slack workspace.