| Hello Shagun, I was able to run comet and the TPP on these files from the latest TPP version 7.1.0. After adding two independent deBruijn randomized decoys to the database using the Petunia Decoy Database tool, my pipeline found approximately 80 thousand to almost 90 thousand PSMs at 1% spectrum error rate, per mzML file. These map to about 68 thousand unique peptides at 1% peptide error rate, after iProphet combining all the files. ProteinProphet mapped all of these to just over 7000 proteins at 1% protein error rate (or lower.) The biggest issue I found in your comet params file was the was n-terminal acetylation was specified using MSFragger notation ‘[^’ for the amino acid (should be ’n’ instead for comet.) Unfortunately this confused the pipeline and exposed downstream assumptions that broke the analysis. I am attaching the comet params file I used to process this data. Cheers! -David P.S. Please update your TPP to the latest 7.1.0 to get the latest features and bug-fixes! You received this message because you are subscribed to the Google Groups "spctools-discuss" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/spctools-discuss/78BF9834-8CE6-40E6-8D4B-5EC6D221DE1C%40systemsbiology.org. |
ShagunGupta.comet.params
Description: Binary data
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