Thanks a lot Jimmy. It is a relief to know that I am doing the best that I
can do with my current system.

I have already removed all the dynamic modifications that I had (no
methionine oxidation or phosphorylations were defined). I have also
confined the analysis to 1000 spectra batch size. Database search takes a
long time, but it identifies a large number of microbiome proteins with
high confidence.

Eslam

On Tue, Aug 9, 2016 at 11:39 PM, Jimmy Eng <[email protected]> wrote:

> Eslam,
>
> Setting "num_threads = 0" is the best you can do.  There's no free lunch
> ... a database that's 100 times larger than the human UniProt fasta will
> take approximately 100 times longer to run, e.g. a 10 minute human search
> would translate to a 17 hour search if the database were 100 times larger.
> You can give things up (no variable modifications, no missed cleavages,
> narrow precursor mass tolerance, etc.) to hopefully speed things up a
> little bit.  Otherwise you just have to throw more horsepower at it.  You
> can get Broadwell-class Xeon processors with up to 24 cores in them.
>
> On Tue, Aug 9, 2016 at 11:30 PM, Eslam Nouri <[email protected]> wrote:
>
>> Hi Eric,
>>
>> I am using comet. In my comet file the number of threads is equal to zero
>> "num_threads = 0". I have attached my system information. Is there any
>> way to increase the data analysis time by defining a thread number?
>>
>> Thanks, Eslam
>>
>> On Tue, Aug 9, 2016 at 11:18 PM, Eric Deutsch <
>> [email protected]> wrote:
>>
>>> Which search engine are you using? Comet? Tandem?
>>>
>>>
>>>
>>> Comet has num_threads:
>>>
>>> http://comet-ms.sourceforge.net/parameters/parameters_201601
>>> /num_threads.php
>>>
>>>
>>>
>>> Tandem has threads:
>>>
>>> http://www.thegpm.org/TANDEM/api/st.html
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> *From:* [email protected] [mailto:spctools-discuss@googl
>>> egroups.com] *On Behalf Of *Eslam Nouri
>>> *Sent:* Tuesday, August 9, 2016 11:05 PM
>>> *To:* [email protected]
>>> *Subject:* [spctools-discuss] Multi core analysis
>>>
>>>
>>>
>>> Hello_
>>>
>>>
>>>
>>> I am using TPP for the database search of microbiome proteins. Since the
>>> fasta file that I have is more than 100 times larger than human uniprot
>>> fasta file, the database search for a single DDA run takes more than 12
>>> hours. Is there any way to have faster analysis using multi-cores?
>>>
>>>
>>>
>>> Thanks, Eslam
>>>
>>> Proteomics core facility
>>>
>>> University of southern California
>>>
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>>
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