Sure. I am not completely sure that my fix is correct.

Under two functions:

NonParametricDistribution::densityFit
NonParametricDistribution::varBWdensityFit

I changed :

(*d)[i] = (*d)[i] / k->size();

into:

if ( k->size() == 0)
  (*d)[i] = 0;
else
  (*d)[i] = (*d)[i] / k->size();


That is where I got the NAN error at the first point.

Thanks,

Ping




On Jul 14, 8:46 am, GATTACA <[email protected]> wrote:
> Ping,
>
> Could you post what changes you made to the
> NonParametricDistribution.cxx to fix the NAN error?
>
> Thanks.
>
> On Jul 9, 1:21 pm, Ping <[email protected]> wrote:
>
> > Jimmy,
>
> > Thanks for your information.
>
> > I debug the TPP source code. There is a small bug inside the
> > NonParametricDistribution.cxx which causes theNANerror in the
> > previous tries.  I fix it and the PeptideProphetParser is working fine
> > now.
>
> > Also after enabling InteractParser option -P as Davis suggested, I do
> > not need to replace the value in the "protein" with the first word
> > from the "protein_descr" in each search_hit entry.
>
> > Thanks again,
>
> > Ping
>
> > On Jul 6, 1:55 pm, Jimmy Eng <[email protected]> wrote:
>
> > > Has anyone been able to feedOMSSAnative pepXML output (using -op
> > > option) through PeptideProphet?  I don't know if anyone has tested this
> > > or ifOMSSAhas only been tested using a separate converter.
>
> > > Replacing the protein word was to address the error message having no
> > > DECOY entries.  This fix hopefully addressed that one point which is
> > > seems to have done.  So to address the follow-up problem, minimally
> > > you'll want to include the diagnostic output from PeptideProphetParser
> > > in case anything obvious shows up from that info.  Possibly you'll need
> > > to have a developer, who knows more than I do, take a closer look at
> > > your data.
>
> > > - Jimmy
>
> > > Ping wrote:
> > > > Jimmy,
>
> > > > As you suggested, I replace the value in the "protein" with the first
> > > > word from the "protein_descr" in each search_hit entry. But when I run
> > > > PeptideProphetParser, it still gives the error message:
>
> > > > ERROR:NANprobability density detected.  Please alert the
> > > > developer !!!
>
> > > > Is there anything else I need to fix?
>
> > > > Thanks!
>
> > > > Ping
>
> > > > Here is the example of the result after I replace protein/
> > > > protein_descr
>
> > > > for not decoy string, it looks like this:
>
> > > > <search_hit hit_rank="1" peptide="YPSRPLPPPPPFGLGFVPPPPPPYGPGR"
> > > > peptide_prev_aa="R" peptide_next_aa="I" protein="gi|73975149|ref|
> > > > XP_862242.1|" num_tot_proteins="3" num_matched_ions="15"
> > > > tot_num_ions="54" calc_neutral_pep_mass="2949.569"
> > > > massdiff="0.59985990298992" is_rejected="0" protein_descr="gi|
> > > > 73975149|
> > > > ref|XP_862242.1| PREDICTED: hypothetical protein XP_857149 isoform 2
> > > > [Canis familiaris]" num_tol_term="2" num_missed_cleavages="0">
> > > > <alternative_protein protein="gi|73975151|ref|XP_862273.1|"
> > > > protein_descr="gi|73975151|ref|XP_862273.1| PREDICTED: hypothetical
> > > > protein XP_857180 isoform 3 [Canis familiaris]"/>
> > > > <alternative_protein protein="gi|73975153|ref|XP_862298.1|"
> > > > protein_descr="gi|73975153|ref|XP_862298.1| PREDICTED: hypothetical
> > > > protein XP_857205 isoform 4 [Canis familiaris]"/>
> > > > <search_score name="pvalue" value="0.000002382663488"/>
> > > > <search_score name="expect" value="0.028320338214958"/>
> > > > </search_hit>
>
> > > > For decoy string, it looks like this:
>
> > > > <search_hit hit_rank="2" peptide="QESARYSAKVTVAGLEESATEAQQQIR"
> > > > peptide_prev_aa="K" peptide_next_aa="S" protein="decoy_2098
> > > > 2" num_tot_proteins="1" num_matched_ions="17" tot_num_ions="52"
> > > > calc_neutral_pep_mass="2949.481" massdiff="0.9728599071700
> > > > 05" is_rejected="0" protein_descr="decoy_20982">
> > > > <search_score name="pvalue" value="0.000014221885248"/>
> > > > <search_score name="expect" value="0.168173793062284"/>
> > > > </search_hit>
>
> > > > On Jul 2, 4:44 pm, Jimmy Eng <[email protected]> wrote:
> > > >> Ping,
>
> > > >> I just downloadedOMSSA2.1.4 and tried the direct pep.xml export
> > > >> myself.  I do see a problem with the resulting pep.xml file that the
> > > >> "-op" option generates that's causing the problem you're seeing.
>
> > > >> The key error message in your output is this:
> > > >> WARNING: No decoys with label DECOY were found in this dataset.
>
> > > >> Looking at the generated pep.xml files,OMSSAseems to be placing some
> > > >> number in the protein="" attribute of each search_hit element.  Whereas
> > > >> PeptideProphet expects this protein attribute to contain some protein
> > > >> identifier that includes the DECOY string for those decoy matches.  In
> > > >> the converters we use, the value of the protein attribute is the first
> > > >> word of the protein definition line.
>
> > > >> As for a fix, we need someone at NCBI to address this and hopefully
> > > >> someone here will contact them about this.  For you in the short term,
> > > >> you're going to need a developer to modify you pep.xml files to replace
> > > >> the value in the "protein" attribute with the first word from the
> > > >> "protein_descr" attribute of each search_hit entry.
>
> > > >> - Jimmy
>
> > > >> Ping wrote:
> > > >>> Hi,
> > > >>> I am trying to run the xinteract on theomssapep.xml output files. my
> > > >>>omssa'sversion is  2.1.4, my TPP version is 4.2.1. But I couldn't get
> > > >>> it through. I search the old post, there is a similar post, but the
> > > >>> problem was solved by specifying enzyme to xinteract.
> > > >>> I tried it, but is still not working. InteractParse went through, but
> > > >>> PeptideProphetParser got stuck by a segmentation fault.
> > > >>> Any help would be greatly appreciated!
> > > >>> Many Thanks,
> > > >>> Ping
> > > >>> ***** output for interactParser and PeptideProphetParser
> > > >>> InteractParser 'interact.pep.xml' 'omssa.pep.xml' -L'7' -E'trypsin' -C
> > > >>> -P
> > > >>>  file 1: ParoSaliv_SHAM_03.pep.xml
> > > >>>  processed altogether 2623 results
> > > >>> PeptideProphetParser 'interact.pep.xml' DECOY=DECOY MINPROB=0
> > > >>> NONPARAM
> > > >>> Using Decoy Label "DECOY".
> > > >>> Using non-parametric distributions
> > > >>>  (OMSSA) (minprob 0)
> > > >>> WARNING!! The discriminant function forOMSSAis not yet complete.  It
> > > >>> is presented here to help facilitate trial and discussion.  Reliance
> > > >>> on this code for publishable scientific results is not recommended.
> > > >>> init withOMSSATrypsin
> > > >>> MS Instrument info: Manufacturer: UNKNOWN, Model: UNKNOWN, Ionization:
> > > >>> UNKNOWN, Analyzer: UNKNOWN, Detector: UNKNOWN
> > > >>>  PeptideProphet  (TPP v4.2 JETSTREAM rev 1, Build 200905131510
> > > >>> (linux)) akel...@isb
> > > >>>  read in 75 1+, 1790 2+, 749 3+, 0 4+, 0 5+, 0 6+, and 0 7+ spectra.
> > > >>> Initialising statistical models ...
> > > >>> WARNING: No decoys with label DECOY were found in this dataset.
> > > >>> reverting to fully unsupervised method.
> > > >>> Iterations: .........10.........20
> > > >>> Segmentation fault
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