Hi David,

thanks for your quick response. Here is the link to the zipped pep.xml 
files. Is this enough or do you also need the pep.xmls from the kojak 
search?

https://drive.google.com/open?id=1zKW0JVfVL_LME0gmt_L6AI7j8AymUmD1


Am Donnerstag, 12. September 2019 18:02:07 UTC+2 schrieb David Shteynberg:
>
> Hi Thomas,
>
> I am not sure what is happening but if you could provide the dataset files 
> for the two search results I can investigate.   PeptideProphet does 
> calculate different models for the different crosslink types.
>
> Thanks,
> -David
>
> On Thu, Sep 12, 2019 at 8:59 AM Thomas Gossenreiter <
> [email protected] <javascript:>> wrote:
>
>> Hi,
>>
>> I have used Kojak 1.6.1 in the TPP pipeline and got some strange results 
>> (very similar ms2 spectra from one peptide with similar Kojak scores got 
>> very different probabilities when running peptide prophet). I have plotted 
>> the Kojak score vs. the peptide prophet probability for target and decoy 
>> hits and there is hardly any correlation between the kojak score and the 
>> probability.
>>
>> I have repeated the search Kojak version that comes along with TPP 
>> (1.5.5) using the same settings except for the top_count parameter. I think 
>> this looks how it should, except for the cross-links which are scored very 
>> well by Kojak but get a bad peptide prophet probability. Is this the case 
>> when one peptide has a very good Kojak sub score and the other one a very 
>> bad score?
>>
>> Does version 1.6.1 work for you or do you have any idea what is happening 
>> here? I attached a ppt file with the figures.
>>
>> I also got a general questions: Is peptide prophet calculating FDRs 
>> separately for cross-linked, loop-linked and normal peptides?
>>
>> Kind regards,
>> Thomas
>>
>>
>>
>>
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