Hello David, 
It worked perfectly. Thank you again for your help! 
Now I am dealing with some weird problem, I believe. I searched the same 
raw files on Comet with comet params for low resolution, and I did another 
search with params for high resolution. Both results were run with 
peptideprophet but in the low res one I did not get any warning, and in the 
High res I got warning on the mass model for charges +2 and +3, so I got a 
few proteins comparing with the other one. Would you know what the problem 
could be? Thank you so much. I am pretty new using TPP, so I am learning. 
Sorry for bothering.
Carolina

El jueves, 15 de junio de 2017, 17:05:23 (UTC-7), David Shteynberg escribió:
>
> Hello Carolina,
>
> I was able to track down the issue in the analysis.  By default, 
> PeptideProphet multiplies the PSM probability by the LIB probability when 
> processing SpectraST results.  In your particular workflow, the LIB 
> probability appears to be 0 for all entries, which forces all 
> PeptideProphet probabilities to 0 also.  To avoid this PERFECTLIB flag must 
> be enabled for PeptideProphet analysis of your data.  The option -OB does 
> this in xinteract (and also the "Analyze Peptide" Petunia page).  When 
> using Petunia GUI "Analyze Peptides" , add "-OB" to the Advanced 
> Commandline Options.  Please report back if it fails to analyze with this 
> option set.
>
> Cheers,
> -David
>
>
>
> On Tue, Jun 13, 2017 at 10:52 AM, David Shteynberg <
> [email protected] <javascript:>> wrote:
>
>> Having multiple decoys in your data is not a problem,  in fact it gives 
>> you the ability to estimate the FDR in different ways.  It appears that 
>> there is significant overlap between the negative and positive distribution 
>> models so PeptideProphet  tries to invalidate the mixture model.  Force 
>> fitting the distribution is usually not advisable.  You can try different 
>> models, for example  try turning off  "Use Non-parametric model".  If 
>> you are able to forward the dataset as a link on the cloud I would be able 
>> to suggest other analysis paths.
>>
>> Cheers,
>> David
>>
>> On Tue, Jun 13, 2017 at 9:47 AM, Carolina <[email protected] 
>> <javascript:>> wrote:
>>
>>> Hello David, 
>>> thank you for the answer. I have more than 2858 unique proteins, and 
>>> 10051 unique peptides. I think that should be enough IDs. The 
>>> PeptideProphet parameters were:
>>>
>>> Filter out results below this PeptideProphet probability:0.05
>>> Minimum peptide length considered in the analysis: 6
>>> Force the fitting of the mixture model (bypass automatic mixture model 
>>> checks)
>>> Use decoy hits to pin down the negative distribution. Decoy protein 
>>> names begin with: DECOY
>>>                  Use Non-parametric model (can only be used with decoy 
>>> option)
>>>                  Report decoy hits with a computed probability (based 
>>> on the model learned).
>>>
>>> I also tried different combinations, with the two decoy options together 
>>> or not selected, but I alwasy got negative prob. The third parameter I 
>>> tried without it, but I got an error *Command FAILED*
>>> RETURN CODE:65280
>>>
>>> Found 33182 Decoys, and 167398 Non-Decoys
>>> Iterations: .........10.........20.....WARNING: Mixture model quality test 
>>> failed for charge (1+).WARNING: Mixture model quality test failed for 
>>> charge (2+).WARNING: Mixture model quality test failed for charge 
>>> (3+).WARNING: Mixture model quality test failed for charge (4+).WARNING: 
>>> Mixture model quality test failed for charge (5+).
>>> model complete after 26 iterations
>>> command completed in 114 sec 
>>> running: "C:/TPP/bin/ProphetModels.pl -i 
>>> /tmp/a08552/Results_SpectraST_Search_3lib/interact.pep.xml -d 
>>> "DECOY""Analyzing 
>>> /tmp/a08552/Results_SpectraST_Search_3lib/interact.pep.xml ...
>>> Parsing search results 
>>> "c:/TPP/data/Results_SpectraST_Search_3lib/041117_DDA_Rep1 (SpectraST)"...
>>>   => Found 0 hits. (0 decoys, 0 excluded)
>>>   => Total so far: 0 hits. (0 decoys, 0 excluded)
>>> Parsing search results 
>>> "c:/TPP/data/Results_SpectraST_Search_3lib/041117_DDA_Rep4 (SpectraST)"...
>>>   => Found 0 hits. (0 decoys, 0 excluded)
>>>   => Total so far: 0 hits. (0 decoys, 0 excluded)
>>> Parsing search results 
>>> "c:/TPP/data/Results_SpectraST_Search_3lib/041117_DDA_Rep5 (SpectraST)"...
>>>   => Found 0 hits. (0 decoys, 0 excluded)
>>>   => Total so far: 0 hits. (0 decoys, 0 excluded)
>>> command completed in 0 sec 
>>> moving tempfile /tmp/a08552/Results_SpectraST_Search_3lib/interact.pep.xml 
>>> to interact.pep.xml
>>> running: "C:/TPP/cgi-bin/PepXMLViewer.cgi -I 
>>> /tmp/a08552/Results_SpectraST_Search_3lib/interact.pep.xml.a08552"
>>> command "C:/TPP/cgi-bin/PepXMLViewer.cgi -I 
>>> /tmp/a08552/Results_SpectraST_Search_3lib/interact.pep.xml.a08552" failed: 
>>> Unknown error
>>>
>>> command "C:/TPP/cgi-bin/PepXMLViewer.cgi -I 
>>> /tmp/a08552/Results_SpectraST_Search_3lib/interact.pep.xml.a08552" exited 
>>> with non-zero exit code: 255
>>> QUIT - the job is incomplete
>>>
>>>
>>> So in order to avoid that error, I needed to select the third parameter.
>>> Let me know what kind of problem do you think I am having. I just 
>>> realized, that I had DECOYs on my library, but also reverse in the database 
>>> fasta file. Would that be an issue? I will try to fix that and see if it 
>>> gets better.
>>> Thanks abain for your time.
>>> Carolina 
>>>
>>> El martes, 13 de junio de 2017, 8:07:12 (UTC-7), David Shteynberg 
>>> escribió:
>>>>
>>>> Negative probabilities are output as place holders when there aren't 
>>>> enough IDs to estimate a valid mixture model.   When PeptideProphet cannot 
>>>> compute a probability but based on other models thinks the ID is correct 
>>>> it 
>>>> reports it with a negative probability equal to the absolute charge. It 
>>>> would be helpful to know your PeptideProphet parameters to help 
>>>> troubleshoot the failure to report a mixture model probability.
>>>>
>>>> -David
>>>>
>>>> On Mon, Jun 12, 2017 at 5:15 PM, Carolina <[email protected]> 
>>>> wrote:
>>>>
>>>>> Hello,
>>>>> I built a library with decoys with SpectraST, and then, performed the 
>>>>> search of raw files also with SpectraST against that library. The results 
>>>>> were analyzed with peptide prophet but the probabilities are all 
>>>>> negative, 
>>>>> from -2 to -7. My intention is to get a FDR on my results, and that 
>>>>> probability can not be right. Would you know what it might be going on? 
>>>>> Thanks, Carolina 
>>>>>
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>>
>>
>

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