Hi David,
Thanks for the response. The release notes are helpful. And no, I
haven't noticed increased decoy hits w/ higher prob...but then again I
haven't really looked.

In addition to the release notes, is there any documentation about
which features from Alexey's papers have made it into the prophets?
For example, Choi, Gosh, & Nesvizhskii 2007 JPR discuss the benefits
of "variable component mixture model and semiparametric mixture
model". I would guess one of these models is invoked if I check the
"Use non-parametric model" option but I'm just not sure. To be clear,
I'm not asking for full compliance with the literature, I just want to
know if PeptideProphet differs from it.

Thanks,
John

On Sep 20, 1:24 pm, David Shteynberg <[email protected]>
wrote:
> Hi John,
>
> The target is for the quality of the software to improve with
> subsequent releases.  Do you notice that you have more incorrect
> (decoy) hits with higher probability?  BTW, the latest version is 4.4
> not 4.3.  For more information you can check the release 
> noteshttp://tools.proteomecenter.org/wiki/index.php?search=release+notes&g...
>
> -David
>
> On Tue, Sep 14, 2010 at 7:45 AM, John Damask <[email protected]> wrote:
> > Hi,
> > We recently upgraded an old version of TPP (Squall v3.3) to v4.3 rev1.
> > We've noticed an increase in the number of high confidence  (<1% FDR)
> > peptides and proteins. Digging into the pepXml files we've seen cases
> > where, for example, a peptide previously assigned a probability of < .
> > 5 now scores > .9. Note that the Mascot scores haven't changed
>
> > Where can I learn about the differences between versions of the
> > Prophets?
> > Thanks
> > John
>
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