I cannot tell from the search parameters if there is a problem.  The only
issue I saw was that you didn't enable isotopic offsets, which are
sometimes helpful.   If you send me a sample mzML file and possibly the
search results in pep.xml along with the database I can troubleshoot
further.  One question, you said you are selecting 2+ 3+ and 4+, why are
only 2+ and 3+ in this dataset?  Does any other dataset in your analysis
contain 4+?

-David

On Wed, Oct 5, 2016 at 6:16 PM, Ali <[email protected]> wrote:

> Hi David
>
> We are only collecting 2+, 3+ and 4+ data. I am working on the cluster, so
> I am using the GPM version and we were unable to install the k-score plugin
> therefore I am using the X! Tandem native scoring for the searches.
>
> If you mean combining all of the search results with xinteract and then
> using PeptideProphet (as you instructed), I have not yet done so because I
> wanted to make sure that we are getting results from the individual
> searches. Is there an issue in my search parameters which is responsible
> for the problem?
>
> Many Thanks,
> Ali
>
> On Wednesday, October 5, 2016 at 7:06:19 PM UTC-4, David Shteynberg wrote:
>>
>> Hi Ali,
>>
>>
>> Are you setting your instrument to collect only 2+ and 3+ data?  Are you
>> using the tandem bundled with TPP or the GPM version of tandem?  Have you
>> tried to process all your runs in one file?
>>
>> Thanks,
>> -David
>>
>>
>> On Wed, Oct 5, 2016 at 11:39 AM, Ali <[email protected]> wrote:
>>
>>> Thank you very much! I really appreciate it!
>>>
>>> On Tuesday, October 4, 2016 at 8:03:27 PM UTC-4, David Shteynberg wrote:
>>>>
>>>> PeptideProphet is doing it's job here by telling you that there is no
>>>> distinct population of correct results in this search.  I suspect your
>>>> search parameters are the problem.  This is orbitrap data so the charges
>>>> should be known, but it seems Tandem only searched 2+ and 3+ for you,  this
>>>> is somewhat troubling.  Tomorrow, I will check your parameters more
>>>> carefully to try to identify the actual problem with your search.
>>>>
>>>> -David
>>>>
>>>>
>>>> On Tue, Oct 4, 2016 at 2:12 PM, Ali <[email protected]> wrote:
>>>>
>>>>> It appears that PeptideProphet fails, I am getting this message:
>>>>>
>>>>> using Accurate Mass Bins
>>>>> using PPM mass difference
>>>>>  (X! Tandem) (minprob 0)
>>>>> adding Accurate Mass mixture distr
>>>>> init with X! Tandem trypsin
>>>>> MS Instrument info: Manufacturer: Thermo Scientific, Model: UNKNOWN,
>>>>> Ionization: nanoelectrospray, Analyzer: orbitrap, Detector: inductive
>>>>> detector
>>>>>
>>>>>  PeptideProphet  (TPP v4.8.0 PHILAE, Build 201608051257-exported
>>>>> (RedHatEnterpriseServer-x86_64)) AKeller@ISB
>>>>>  read in 0 1+, 14418 2+, 11080 3+, 0 4+, 0 5+, 0 6+, and 0 7+ spectra.
>>>>> Initialising statistical models ...
>>>>> negmean = 0.0533258
>>>>> negmean = 1
>>>>> negmean = 0.0376944
>>>>> negmean = -0.2
>>>>> negmean = -0.2
>>>>> negmean = -0.2
>>>>> negmean = -0.2
>>>>> Iterations: .........10.........20.
>>>>> WARNING: Mixture model quality test failed for charge (2+).
>>>>> WARNING: Mixture model quality test failed for charge (3+).
>>>>>
>>>>> On Monday, October 3, 2016 at 5:57:39 PM UTC-4, David Shteynberg wrote:
>>>>>>
>>>>>> I highly recommend you start employing decoys in your search
>>>>>> databases.  I noticed you are not combining together the runs in the
>>>>>> analysis.  If the data was generated and searched in the same way it 
>>>>>> should
>>>>>> be analysed together for better statistical power.  I suggest you combine
>>>>>> the results from all your runs and filter by the spectrum names later.  
>>>>>> Try
>>>>>> this:
>>>>>>
>>>>>> InteractParser ./ALL.interact.xml ./*.tandem.pep.xml -S -Etrypsin
>>>>>> PeptideProphetParser ./ALL.interact.xml ACCMASS PPM NOICAT MINPROB=0
>>>>>>
>>>>>>
>>>>>> -David
>>>>>>
>>>>>> On Mon, Oct 3, 2016 at 2:39 PM, Ali <[email protected]> wrote:
>>>>>>
>>>>>>> Hi David
>>>>>>>
>>>>>>> Thanks for your reply. I don't think so, it is not just one set, as
>>>>>>> I said almost a third of my search results are returned with zero
>>>>>>> probabilities. All of the searches are done with the same setting and 
>>>>>>> using
>>>>>>> the same database. The fact that for some of the searched files I am
>>>>>>> getting zero probabilities and some of them are just fine is a bit 
>>>>>>> strange.
>>>>>>> I don't have decoys in my data base. If it helps, I can send you one of 
>>>>>>> the
>>>>>>> search results with or without PeptideProphet probabilities.
>>>>>>>
>>>>>>> Sincerely,
>>>>>>> Ali
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Monday, October 3, 2016 at 4:19:05 PM UTC-4, David Shteynberg
>>>>>>> wrote:
>>>>>>>>
>>>>>>>> Is it possible there are no correct results in that set?  Common
>>>>>>>> pitfalls are incorrect search parameters (e.g. wrong mods enabled or
>>>>>>>> disabled) and wrong database.  If you have decoys in your database 
>>>>>>>> these
>>>>>>>> can be utilized for a more accurate mixture model generation using 
>>>>>>>> options
>>>>>>>> "DECOY=<your decoy prefix>  DECOYPROBS NONPARAM" in additions to the
>>>>>>>> options you already have enabled.
>>>>>>>>
>>>>>>>> -David
>>>>>>>>
>>>>>>>> On Mon, Oct 3, 2016 at 10:39 AM, Ali <[email protected]> wrote:
>>>>>>>>
>>>>>>>>> Hi
>>>>>>>>>
>>>>>>>>> I am using PeptideProphet on my X!Tandem search results. There are
>>>>>>>>> ~150 experiments and PeptideProphet works fine on most of them but 
>>>>>>>>> for ~50
>>>>>>>>> experiments, PeptideProphet returns zero probability for all of the
>>>>>>>>> peptides. Can some one please tell me what might be the issue?
>>>>>>>>>
>>>>>>>>> *More Info:*
>>>>>>>>> I am using TPP v4.8 on Linux. PeptideProphet does not show an
>>>>>>>>> error when it produces zero probability for all of the search results.
>>>>>>>>> This is what I'm doing:
>>>>>>>>> -search with X!Tandem
>>>>>>>>> -Tandem2XML ./100.tandem.xml ./100.tandem.pep.xml
>>>>>>>>> -InteractParser ./100.interact.xml ./100.tandem.pep.xml -S
>>>>>>>>> -Etrypsin
>>>>>>>>> -PeptideProphetParser ./100.interact.xml ACCMASS PPM NOICAT
>>>>>>>>> MINPROB=0
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Thank you very much,
>>>>>>>>> *Ali*
>>>>>>>>>
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