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Description
Hi,
In order to get familiar with your tool, I tried to reproduce the TIDE+Percolator-RESET plot in the figure 3 of your article. However, the 3 methods returned me a FDP greatly below the FDR threshold (see figure below). I also tried FDRbench with one of my dataset and a Comet+PeptideProphet pipeline and, once again, the FDPs I got were greatly below the FDR threshold. Moreover, the FDP was a bit lower with a proteogenomic database than with SwissProt, which is unexpected.
Since I got similar results with different search engines and post-processing tools, I guess that my problem arise from the arguments I use to run FDRbench.
Here are my command lines,
to generate entrapment database:
java -jar fdrbench-0.0.1.jar -enzyme 1 -fix_nc c -level peptide -db <path/to/database.fasta> -o <database_entrapment.tx -uniprot -minLength 7 -maxLength 35
to compute FDP:
java -jar fdrbench-0.0.1.jar -fold 1 -pep <database_entrapment.txt> -i <percolator-RESET_output> -o <output_path> -score "TailorScore:1"
I used the same version of SwissProt as you did (UP000005640) and all the parameters you mentioned in the methods section for Tide (crux 4.2.Linux) and Percolator-RESET (v. 0.0.6).
I did not aggregated the FDPs of all runs of the PXD001468 dataset as you did in the article, but each run yields me a figure similar to the following:
Would you have any idea of what I could have done wrong? If no, could you provide me the the arguments you used to run FDRbench for the figure 3?
If you would like to have more details, I will be happy to provide them!
Thanks a lot!
