Hi David,

The 1% FDR I used is decoy-based, which works out as using a protein 
prophet cutoff of ~0.8 (in both cases).

The dataset is large (~ 420,000 total spectra reported in the prot.xml) - 
perhaps this has an effect?

Would it be useful for me to send across my prot.xml files (or pep.xmls?)

Thanks
Pete


On Thursday, 21 June 2018 10:55:11 UTC-7, David Shteynberg wrote:
>
> Hi Pete,
>
> Thank you for the summary.  I had a question about the 1% FDR.  Is this 
> decoy-based or model-based?  I am wondering what protein counts you will 
> observe when you compare at the 1% decoy-based FDR between running NSP in 
> both iProphet and ProteinProphet, running NSP only in iProphet and running 
> NSP only in ProteinProphet?
>
> Thank you,
> -David
>
>
> On Thu, Jun 21, 2018 at 10:39 AM, <pbell....@gmail.com <javascript:>> 
> wrote:
>
>> Hi David,
>>
>> Thanks a lot for your reply.
>>
>> Your first answer makes a big difference - I had been combining iprophet 
>> results for a second round which had previously combined multiple search 
>> engines. By combining the results from different search engines only in the 
>> second iProphet run, my numbers are now more consistent irrespective of 
>> order of combination.
>>
>> Regarding the second point, switching NSP off in protein prophet (after 
>> running NSP in iProphet) makes quite a big difference to my final protein 
>> numbers (2632 entries versus 2336 at 1% FDR).
>>
>> Taking a look at the additional matches, they are all single peptide 
>> sequence hits - however, from manual inspection of several of these though, 
>> there are often multiple matches with high peptide prophet scores across 
>> several different biological replicates, and the spectra look good. Some of 
>> them do look like single matches though (albeit with good looking spectra).
>>
>> Given that both are 1% FDR, it's difficult to choose the most appropriate 
>> method to choose. From what I've said, I think the risk of false negatives 
>> is greater (running both NSP models) than the risk of false positives 
>> (running iprophet NSP only) - my thoughts are that it will be better to use 
>> NSP 'off' in protein prophet, but to consider protein IDs from single 
>> peptide sequence hits as being less confident.
>>
>> Thanks again for your help,
>> Pete
>>
>>
>>  
>>
>> On Wednesday, 20 June 2018 13:29:06 UTC-7, David Shteynberg wrote:
>>>
>>> Hello Pete,
>>>
>>> I think the answer to your first question is it depends on the specifics 
>>> of your analysis.
>>>
>>> You can pass iProphet files through iProphet again, since it will just 
>>> use the PeptideProphet probabilities which are not modified (only reported) 
>>> by iProphet.  If the iProphet is from a single search engine this should be 
>>> just fine.  However, if the iProphet file contains results from multiple 
>>> search engines then you probably don't want to combine it with iProphet 
>>> again as in this case each spectrum search result comes from the highest 
>>> scoring search engine, so not all the information will be available for 
>>> iProphet in the second analysis.  Also, for your large analysis that is 
>>> currently failing in Petunia you might consider running the tool on the 
>>> commandline.
>>>
>>> For your second question, the NSP model can be disabled on the 
>>> commandline using the NONSP flag.  The ProteinProphet NSP model is 
>>> implemented differently in iProphet and in ProteinProphet.  Although, in 
>>> theory applying the models both times could be problematic due to their 
>>> similarity, in practice the models are different enought that during 
>>> testing I have not observed deleterious effects from using both the 
>>> iProphet and the ProteinProphet NSP models. You can try running the tools 
>>> in different ways and comparing the performance.  Using both NSP models is 
>>> the current default and you would have to explicitly disable the models 
>>> when you run each tool.
>>>
>>> I hope this helps.
>>>
>>> -David
>>>
>>>
>>>
>>>
>>> On Tue, Jun 19, 2018 at 5:29 PM, <pbell....@gmail.com> wrote:
>>>
>>>> Hi All,
>>>>
>>>> I have 2 questions I'd be grateful if people could help answer:
>>>>
>>>> 1)
>>>> Is it valid to combine multiple iprophet.pep.xml files by passing 
>>>> through iprophet for a second time? - alternatively, is it valid to 
>>>> combine 
>>>> a single iprophet.pep.xml file with interact.pep.xml files in iprophet?
>>>>
>>>> I am trying to combine a lot of different experiments / search engines 
>>>> results etc, and have been combining in iprophet - but I appear to have 
>>>> maxed out the number interact.pep.xml files to pass into iprophet. Beyond 
>>>> a 
>>>> certain number of files (doesn't appear to be file-specific), iProphet 
>>>> fails. As a workaround, I wondered if I could simply run half of the files 
>>>> through iProphet, then combine the resulting file with the remaining files 
>>>> to be run, by running iprophet again prior to running protein prophet. - 
>>>> Would this be valid?
>>>>
>>>> 2)
>>>> I attended a TPP course last year in which the course notes stated that 
>>>> NSP should be switched off in iProphet, if NSP model is to be used in 
>>>> protein prophet. 
>>>>
>>>> I am using petunia (running protein prophet on the iprophet results), 
>>>> and I cannot see a NSP option in the protein prophet parameters. Does this 
>>>> mean that NSP is not being used when I run protein prophet? ... (i.e. am I 
>>>> ok to leave NSP on in iProphet?)
>>>>
>>>>
>>>> Thanks
>>>> Pete
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
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>>>
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