PeptideProphet is meant to process the search results of one search engine
at a time.  Therefor you cannot combine the result of MSGF+ and MyriMatch
in a single pass.  You must process the MSGF+ data through PeptideProphet
and MyriMatch data through PeptideProphet separately (remember to enable
Non-parametric option).  To combine the result in iProphet you must use the
Combine Analyses tab and provide results already processed through
 PeptideProphet for iProphet analysis.  I would also suggest you use
Minimum Probability of 0 to help iProphet make the most use of your
searches.

-David


On Sun, Mar 30, 2014 at 6:59 PM, <[email protected]> wrote:

> No, neither you guys said work. It still report the same error.
>
> 在 2014年3月27日星期四UTC+8下午11时11分07秒,David Shteynberg写道:
>>
>> Actually it failed because it wasn't run in Semiparametric mode.  Check
>> the box next to use nonparametric models and try again.
>> On Mar 27, 2014 7:27 AM, "Jimmy Eng" <[email protected]> wrote:
>>
>>> I believe that PeptideProphet failed because you told it to use a decoy
>>> tag that it could not find in any of the search results.  Apparently the
>>> decoy tag in MSGF+ is always "XXX_" and can't be changed.  So you must set
>>> that as the decoy tag and make sure that same decoy tag is used in
>>> MyriMatch.
>>>
>>> Another option is to use a self generated target-decoy database and turn
>>> off the auto-decoy option in the search engines.
>>>
>>>
>>> On Thu, Mar 27, 2014 at 2:29 AM, <[email protected]> wrote:
>>>
>>>> Hi,
>>>>     I try to combine two different search engine results using
>>>> iProphet. One is myrimatch, the other is MSGF+.
>>>>     The decoy database search is auto conducted by each search engine.
>>>>     But iProphet failed, exactly PeptideProphetParser failed, when I
>>>> select "Analysis Pipeline (Tandem)" -> "Analyze Peptides" in TPP 4.6.3
>>>> to combine them.
>>>>     The parameters for PeptideProphet and InterProphet are showed below.
>>>>
>>>>
>>>> <https://lh6.googleusercontent.com/-aIAyfalUSIo/UzPtqmRkHoI/AAAAAAAAAAM/RcNaJf-gpcU/s1600/QQ%E5%9B%BE%E7%89%8720140327172121.jpg>
>>>>
>>>>
>>>> <https://lh5.googleusercontent.com/-rfMJq_uvl4c/UzPt7QykkQI/AAAAAAAAAAU/DGzmgdsYqhQ/s1600/QQ%E5%9B%BE%E7%89%8720140327172230.jpg>
>>>>
>>>>     Here is the log.
>>>>
>>>>     running: "C:/Inetpub/tpp-bin/PeptideProphetParser
>>>> "interact.pep.xml" MINPROB=0.01 DECOY=###REV###"
>>>>
>>>> Using Decoy Label "###REV###".
>>>>  (MS-GF+)
>>>> WARNING!! The discriminant function for MSGFPL is not yet complete.  It is 
>>>> presented here to help facilitate trial and discussion.  Reliance on this 
>>>> code for publishable scientific results is not recommended.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> WARNING: MSGFPL only support semi-parametric PeptideProphet modelling, 
>>>> which relies on a DECOY search.
>>>> init with MS-GF+ trypsin
>>>> two different search engines specified: MS-GF+ and MyriMatch
>>>>
>>>> command "C:/Inetpub/tpp-bin/PeptideProphetParser "interact.pep.xml" 
>>>> MINPROB=0.01 DECOY=###REV###" failed: Operation not permitted
>>>>
>>>> command "C:/Inetpub/tpp-bin/PeptideProphetParser "interact.pep.xml" 
>>>> MINPROB=0.01 DECOY=###REV###" exited with non-zero exit code: 1
>>>> QUIT - the job is incomplete
>>>>
>>>>
>>>>     Can any body tell me why this happen? Why the PeptideProphetParser
>>>> failed?
>>>>
>>>>     By the way, it didn't print error information when I try the
>>>> command manually.
>>>>     Thanks very much!
>>>>
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>>>
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