Convert data using proteowizard

getwd()
#> [1] "/Users/xiaotaoshen/tidymass/tidymass-website/content/docs/chapter3"

Install Proteowizard

Proteowizard only supports Windows OS. So if you don’t use Windows OS, consider massconverter.

Download Proteowizard and install it.

Data preparation

Please place the raw data in one folder according to MS1 and MS2. Then you can convert them using Proteowizard package.

Convert MS1 data to mzXML format data

Just convert data into mzXML format data according to the parameters below:

Convert MS2 data to mzXML or mgf format data

Just convert data into mzXML or mgf format data according to the parameters below:

Session information

sessionInfo()
#> R version 4.3.0 (2023-04-21)
#> Platform: x86_64-apple-darwin20 (64-bit)
#> Running under: macOS Ventura 13.5.1
#> 
#> Matrix products: default
#> BLAS:   /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRblas.0.dylib 
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0
#> 
#> locale:
#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#> 
#> time zone: America/Los_Angeles
#> tzcode source: internal
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> loaded via a namespace (and not attached):
#>  [1] digest_0.6.31    R6_2.5.1         codetools_0.2-19 bookdown_0.34   
#>  [5] fastmap_1.1.1    xfun_0.39        blogdown_1.18.1  cachem_1.0.8    
#>  [9] knitr_1.43       htmltools_0.5.5  rmarkdown_2.22   cli_3.6.1       
#> [13] sass_0.4.6       jquerylib_0.1.4  compiler_4.3.0   rprojroot_2.0.3 
#> [17] here_1.0.1       rstudioapi_0.14  tools_4.3.0      evaluate_0.21   
#> [21] bslib_0.5.0      yaml_2.3.7       jsonlite_1.8.5   rlang_1.1.1
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