Dear Hannes, thank you for your reply.

By "filter," I assume you mean the "maximum valid expectation value" in the 
output and refine settings of X!Tandem?
If so, I've performed the following experiment.

Evalue 1e-2:    8 decoys / 24280 non-decoys
Evalue 1e-1:  105 decoys / 31902 non-decoys
Evalue 1e0:   793 decoys / 38363 non-decoys
Evalue 1e1:  3197 decoys / 42706 non-decoys
Evalue 1e2:  4642 decoys / 44256 non-decoys

Thank you for your advice -- I will attempt to build the Pos and Neg 
distributions using the more liberal cutoffs.
My goal is to obtain a SpectraST library to interrogate SWATH datasets, using 
OpenSWATH, of course!

What kind of decoy to non-decoy ratio is satisfactory for FDR modelling, in 
your experience?

Vadim

On Apr 3, 2014, at 11:28 AM, Hannes Röst <[email protected]> wrote:

> Hi Vadim
> 
> This will most likely _not_ work. It would probably be better if you
> do not filter before xinteract but give it the full X!Tandem output
> and then filter afterwards based on the computed probabilities. This
> way you also might increase the total number of retained hits at a
> fixed FDR.
> 
> Hannes

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