It would be very helpful to see your Kojak pepxml results.

Thanks,
David


On Fri, Sep 13, 2019, 12:01 AM Thomas Gossenreiter <
thomas.gossenrei...@gmail.com> wrote:

> 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 <
>> thomas.go...@gmail.com> 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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