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 <[email protected]> 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).
>
> 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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