Hi. Take a look at:

http://pubs.acs.org/doi/abs/10.1021/pr901023v

Regards,
Fabio

2010/11/30 Amit Yadav <[email protected]>:
> Hi Jimmy,
> I was following Elias & Gygi's formula for concatenated searches. I was
> unaware that the same formula is to be used for both searches. Please
> provide me with the reference.
> Regards,
>
> Amit Kumar Yadav
> Senior Research Fellow (SRF-CSIR)
> IGIB, New Delhi (India)
>
> MassWiz Web server
> MassWiz sourceforge project
> MassWiki
>
>
>
> On Fri, Nov 26, 2010 at 12:03 AM, Jimmy Eng <[email protected]> wrote:
>>
>> It should be number(decoys)/number(targets) irrespective of
>> concatenated or separate searches.
>>
>> On Wed, Nov 24, 2010 at 5:20 AM, Amit Yadav <[email protected]>
>> wrote:
>> > Hi,
>> >
>> > From what I understand, the simplest ways to calculate FDR using a
>> > Target-Decoy search are:-
>> >
>> > 1. Run a Concatenate target and decoy database search. The formula
>> > would be :    2  *number(decoys)/ number(target+decoys) - See Elias
>> > and Gygi , Nat Methods. 2007 Mar;4(3):207-14.
>> >
>> > 2. Run Separate target and decoy searches. The formula would be:
>> > number(decoys)/number(targets). See Kall et al J Proteome Res. 2008
>> > Jan;7(1):29-34
>> >
>> > I think your formula should be the first one. Members, please correct
>> > me if I am wrong.
>> >
>> > Regards,
>> >
>> > Amit Kumar Yadav
>> > Senior Research Fellow (SRF-CSIR)
>> > IGIB, New Delhi (India)
>> >
>> > MassWiz Web server
>> > MassWiz sourceforge project
>> > MassWiki
>> >
>> >
>> >
>> > On Wed, Nov 24, 2010 at 6:39 PM, Bjorn <[email protected]> wrote:
>> >>
>> >> Hello all,
>> >>
>> >> I am trying to find my way through the different interpretations and
>> >> calculations of the FDR, but I'm a bit lost where it comes to the
>> >> PeptideProphet.
>> >>
>> >> So far, I know that the simplest calculation is (decoy_hits/
>> >> target_hits). So, I ran X!tandem on my dataset (target DB +
>> >> concatenated decoy DB) and then ran PeptideProphet on the resulting
>> >> pep.xml file (not setting the decoy option!).
>> >> I then set a certain probability threshold (say 0.85) and looked at
>> >> the number of spectra (e.g. 1200 of 1500). Setting the protein text to
>> >> decoy gives me, e.g. 50 hits. The FDR for a prob. of 0.85 would then
>> >> be 50/1150. If I look at the table displayed in the PeptideProphet,
>> >> the FDR I found is almost spot-on with the number in the table. The
>> >> thing is that if I lower my probabilty threshold, the FDRs in the
>> >> table stay relatively low, while the FDRs I calculate with the above
>> >> formula go up. Is there any extra correction being done in the
>> >> PeptideProphet (like correct for the percentage of incorrect target
>> >> hits (PIT) as described by Kall et al in 2008)?
>> >> Or am I missing something vital here?
>> >>
>> >> Furthermore, how is the estimated number of correct assignments
>> >> calculated? I can't seem to find the correct formula to come to that
>> >> number? I assume it is related to the surface under the curve plotted
>> >> with the correct identifications?
>> >>
>> >> Many questions, but I hope someone can help me with this.
>> >>
>> >> Best regards,
>> >>
>> >> bjorn
>> >>
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