Hi Jimmy,

Thanks a lot for the recommendation. I changed the spectra batch size from
1000 to 5000 and could analyze the same DDA sample with 50% improvement in
the analysis time. I will surely check the 10000 spectra batch size to see
if I can obtain shorter analysis time.

Thanks, Eslam

On Wed, Aug 10, 2016 at 7:54 AM, Jimmy Eng <jke...@gmail.com> wrote:

> How much memory/RAM do you have on your computer?  It won't make a huge
> difference but larger spectrum batch sizes are more efficient.  So see if
> you have enough free memory to run with that parameter set at say 5000.
> With our 16GB linux computers performing  high-res ms/ms searches, I use
> batch sizes of 10000.
>
> On Wed, Aug 10, 2016 at 12:27 AM, Eslam Nouri <eslamno...@gmail.com>
> wrote:
>
>> 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 <jke...@gmail.com> 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 <eslamno...@gmail.com>
>>> 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 <
>>>> edeut...@systemsbiology.org> 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:* spctools-discuss@googlegroups.com [mailto:
>>>>> spctools-discuss@googlegroups.com] *On Behalf Of *Eslam Nouri
>>>>> *Sent:* Tuesday, August 9, 2016 11:05 PM
>>>>> *To:* spctools-discuss@googlegroups.com
>>>>> *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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