Demultiplexing & converting from .raw to .mzml

Let’s revisit the DNR geoduck mass spec data!

After the initial DNR geoduck data processing (MSConvert, Pecan, Skyline), we’ve learned that there are a few changes that need to be made. Specifically:

  • When converting .raw files (from Lumos MSMS) to .mzml, I need to demultiplex the data. What is demultiplexing you ask? More on that later.
  • When running Pecan, do all my sample files first (including my blanks). Then, go back and run the “cleaning” blank files after.
  • Need to use Genome Sciences server, Hyak, or some other powerful machine to run Pecan, since our computers don’t have enough memory

Demultiplexing .raw files and converting to .mzML

NOTE: all the programs needed for processing Lumos data files require Windows. For this workflow I’m using the Roberts Lab’s Woodpecker machine

  • Step 1: Download .raw files from Owl to local folder on Windows computer.
  • Step 2: Extract the files from the .zip folder didn’t work, as only a few files extracted correctly and the rest resulted in 0kb files. I thus downloaded WinZip program to computer and unzipped.
  • Step 3: Open command window. One Windows search for: cmd.exe
  • Step 4: Change working directory to the folder containin .raw files: `cd C:\Users\srlab\Documents\geo
  • Step 5: Use the following script outlined in the DIA data Analyses instructions, with a couple directory edits. This first run only includes 1 file, so I can see if I get any errors: C:\Users\srlab\Documents\oystertest\20170412_pwiz_testBuild_addMinWindowSize\msconvert.exe --zlib --64 --mzML --filter "peakPicking true 1-2" --filter "demultiplex optimization=overlap_only" 2017_January_23_envtstress_geoduck1.raw
  • Step 6: No errors! To run more files in tandem, open up more terminal windows, navigate to the directory housing the .raw files, and enter the same script (with different file names). I have 4 windows running at the same time, on geoduck1-geoduck4.

step6

Step 7: Wait! Started on Friday 3/14 @ 2pm. Let’s see when they finish.

Written on April 14, 2017