Hi Jesse,

Thanks for helping. I also tried the same data on comet also, it is showing
no errors. And I am using same fasta and mass tolerances for comet search
also, and its peptideprophet results are showing no errors.
As I have mentioned that I am using msconvert directly but not AB Sciex
converter for data conversion, could this be the reason of it. Also, I have
attached the tandem parameters file, could you please have a look into that
also.

Thanks
Ankit

On 15-Feb-2019 00:43, "Jesse Meyer" <[email protected]> wrote:

> Hi Ankit,
>
> I've seen this before when my search doesn't produce any hits - usually
> the mixture model fails for only charge 1+, 6+, 7+ because I set the
> instrument to not fragment those charge states, but your model failed all
> of them.  Either there are no peptides in your samples, or your search
> settings were very wrong and that prevented you from finding any hits.
>
> I suggest checking your raw data's chromatogram for the presence of
> peptide peaks and also rich MS/MS spectra, and if you have those, then
> double check that you used the correct search settings (e.g. correct fasta,
> correct precursor/fragment tolerances, etc).
>
>
> Best,
>
> Jesse G. Meyer, Ph.D.
> Postdoctoral Fellow
> Coon Lab
> Department of Chemistry
> Department of Biomolecular Chemistry
> National Center for Quantitative Biology of Complex Systems
> University of Wisconsin - Madison
> [email protected]
>
>
> On Thu, Feb 14, 2019 at 12:27 PM Ankit Balhara <[email protected]>
> wrote:
>
>> Hi,
>>
>> I am using peptideprophet for the statistical validation of X!Tandem
>> results. I am using the options: Use accurate mass binning, using ppm, Use
>> Hydrophobicity / RT information, Use decoy hits to pin down the negative
>> distribution. Decoy protein names begin with'rev_', Use Non-parametric
>> model (can only be used with decoy option) and Report decoy hits with a
>> computed probability (based on the model learned). I have acquired the data
>> on AB Sciex system but I used msconvert for conversion of .wiff files to
>> mzXML format.
>> But I am getting the following error message:
>>
>> Found 676 Decoys, and 834 Non-Decoys
>> Iterations: .........10.........20.....Estimating Retention Time Model ... 
>> please wait ... WARNING: Not enough IDs in run index c:/TPP/data/liver_DDA_1 
>> to generate RT Gradient Correction.WARNING: Not enough high probability IDs 
>> in run index c:/TPP/data/liver_DDA_1 to generate RT model. RT Model has been 
>> disabled.
>> Run Index: c:/TPP/data/liver_DDA_1, slope=nan, intercept=nan, 
>> r_sq=nanWARNING: Not enough IDs in run index c:/TPP/data/liver_DDA_2 to 
>> generate RT Gradient Correction.WARNING: Not enough high probability IDs in 
>> run index c:/TPP/data/liver_DDA_2 to generate RT model. RT Model has been 
>> disabled.
>> Run Index: c:/TPP/data/liver_DDA_2, slope=nan, intercept=nan, 
>> r_sq=nanWARNING: Not enough IDs in run index c:/TPP/data/liver_DDA_3 to 
>> generate RT Gradient Correction.WARNING: Not enough high probability IDs in 
>> run index c:/TPP/data/liver_DDA_3 to generate RT model. RT Model has been 
>> disabled.
>> Run Index: c:/TPP/data/liver_DDA_3, slope=nan, intercept=nan, 
>> r_sq=nanWARNING: Not enough high probability IDs in run index 
>> c:/TPP/data/liver_DDA_1 to generate RT model. RT Model has been disabled.
>> Run Index: c:/TPP/data/liver_DDA_1, slope=nan, intercept=nan, 
>> r_sq=nanWARNING: Not enough high probability IDs in run index 
>> c:/TPP/data/liver_DDA_2 to generate RT model. RT Model has been disabled.
>> Run Index: c:/TPP/data/liver_DDA_2, slope=nan, intercept=nan, 
>> r_sq=nanWARNING: Not enough high probability IDs in run index 
>> c:/TPP/data/liver_DDA_3 to generate RT model. RT Model has been disabled.
>> Run Index: c:/TPP/data/liver_DDA_3, slope=nan, intercept=nan, r_sq=nan
>>
>> 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+).WARNING: Mixture model quality test failed for charge (6+).WARNING: 
>> Mixture model quality test failed for charge (7+).
>> model complete after 26 iterations
>> command completed in 4 sec
>>
>>
>> Could anyone help me out to resolve this problem?
>>
>> I am also attaching the tandem parameter file also. Also the X!Tandem
>> results showed that the valid models for first data = 0, while 2 and 4
>> models for two other data.
>>
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