Yes, provided u are using Elias and Gygi method (concatenated search).

Regards,

*Amit Kumar Yadav *
Senior Research Fellow (SRF-CSIR)
IGIB, New Delhi (India)

*MassWiz Web server* <http://masswiz.igib.res.in>
* <http://masswiz.igib.res.in>**MassWiz sourceforge
project*<https://sourceforge.net/projects/masswiz>
* 
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On Thu, Mar 28, 2013 at 10:16 PM, Hanice Sun <sunhan...@gmail.com> wrote:

> Dear Amit,
>
> I should sort all the spectrum-peptide matching in one raw file by e-value
> from low to high, than cut the FDR?
> Am I right?
> Thank you very much.
>
>
> On Friday, March 29, 2013 12:26:06 PM UTC+8, Amit Kumar Yadav wrote:
>
>> Hi,
>>
>> Interpretation of e-values will always be coupled to the database size
>> (more appropriately, the size of candidates for a particular spectrum). So,
>> I do not think it is the correct metric for controlling false positives.
>>
>> When the authors had suggested using e-values, I believe FDR was not in
>> use (much). But after it was necessary to control for global error rates,
>> Target-Decoy may be your best option. In my experience, e-values are better
>> normalized/calibrated ( i don't know what is the right term for this) to
>> spectrum to spectrum variations than hyperscore, it is better to use
>> e-values than hyperscore for FDR calculation. Hyperscore have more
>> variations and suffer from peptide length bias.
>>
>>
>> Regards,
>>
>> *Amit Kumar Yadav *
>> Senior Research Fellow (SRF-CSIR)
>> IGIB, New Delhi (India)
>>
>> *MassWiz Web server* <http://masswiz.igib.res.in>
>> * <http://masswiz.igib.res.in>**MassWiz sourceforge 
>> project*<https://sourceforge.net/projects/masswiz>
>> * 
>> <https://sourceforge.net/projects/masswiz>**MassWiki*<https://sourceforge.net/apps/mediawiki/masswiz/index.php?title=MassWiki>
>>
>>
>> On Thu, Mar 28, 2013 at 1:30 AM, Hanice Sun <sunh...@gmail.com> wrote:
>>
>>> I am considering using target-decoy FDR or directly using E-value of
>>> x!tandem?
>>>
>>> It seems that xtandem author recommend the latter.
>>>
>>> *(*
>>> *This reference describes the idea of using reversed sequences to
>>> validated large collections of protein identifications. The GPM has this
>>> method built-in as a possible method for validation.*
>>> *N.B.: We strongly recommend that you do not use this type of method
>>> for any purpose other than comparison with other search engines. The
>>> "decoy" search methods that have been developed from this manuscript are
>>> deeply flawed algorithms for determining the confidence of peptide
>>> identification assignments.*
>>> *)*
>>>
>>>
>>> However,
>>>
>>> 1.    If I use E-value, I don't know which threshold should I set.
>>> Although I tried to understand E-value, I still cant know which value is
>>> suitable.
>>>
>>> At the beginning , I thought maybe I could set it as 1e-3, but I found
>>> the default E-value of blast is 10, and this paper uses 100 (
>>> http://www.ncbi.nlm.nih.gov/**pubmed/18216375<http://www.ncbi.nlm.nih.gov/pubmed/18216375>
>>> ).
>>>
>>> So I dare not set this threshold.
>>>
>>> 2. If  I choose the target-decoy strategy, I don't know which value
>>> should I use to sort the matching, could I use hyper-score?
>>>
>>> Could anyone help me? thank you very much.
>>>
>>> ps. My database is relatively large , It may affect the choice.
>>>
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