Ok Thank you. that makes sense. I should filter the list first before 
Stpeter quantitation.


On Thursday, August 24, 2023 at 3:05:19 PM UTC-7 [email protected] 
wrote:

> Hi Sudar, 
>
> I'm catching up here...
>
> It looks like you've set your analysis pipeline properly - it is the same 
> way I would do it. One recommendation, though, is to do the quantitation at 
> an appropriate FDR threshold (i.e. FDR=0.01) instead of on all proteins. 
> This is because SIn is normalized on all quantified signals. So including 
> all protein groups means you are normalizing your quantities on proteins 
> that are also not really in your sample.
>
> As for the reason that some of your samples have fewer proteins than 
> others, there are several possibilities, but they are unlikely to be 
> related to StPeter. It could be, for example, that some of the charge state 
> models failed in PeptideProphet, or that several high-probability decoy 
> sequences skewed the distributions. Or perhaps a few key nondegenerate 
> peptides were not observed, causing ProteinProphet to group proteins in 
> drastically different ways. Or there are simply fewer proteins in those 
> samples (number of spectra need not correlate to number of proteins). There 
> isn't any one possible explanation without actually exploring the data, as 
> each dataset will have its own characteristics that can influence the 
> analysis.
>
> Cheers,
> Mike
>
> On Friday, August 18, 2023 at 11:36:41 AM UTC-7 sudarshan kumar wrote:
>
>> Hi Mike, thank you I did the way you said. Analyzed all samples 
>> separately.
>> I have a question
>> I kept on doing as
>> from mzml convert ---  comet search -- peptide prophet---- iprophet ---- 
>> protein prophet---- stpeter.
>> I didn't check the data quality neither filtered my data for anything 
>> during the process.
>> Can I do filtering in the end, based on protein probability as decided by 
>> the sensitivity and error table? I did filtering at the end choosing error 
>> rate of 0.05. 
>> I had 6 files of similar samples. I see that based on stpeter score the 
>> top hits (around 30 proteins) are similar across  6 samples. But the total 
>> number of proteins identified in each sample goes down drastically in few 
>> of the samples although all the files had similar number of displayed 
>> spectra upto iprophet.
>> CAn you please explain th reason?
>> thanks 
>> sud
>>
>>
>>
>> On Thu, Aug 17, 2023, 10:15 sudarshan kumar <[email protected]> wrote:
>>
>>> OK, I can understand. so if the SIn values (displayed) are log 
>>> transformed values. Can we take antilog of these values to come back to the 
>>> actual fractional values.
>>>
>>> Since, I want to compare two samples where i want to represent the 
>>> difference in the quantity of each protein as fold change. Am I needed to 
>>> do it separately in excel or other platform where i can calculate the 
>>> ration using fractional (normalized SIn values) for each of the proteins.
>>>
>>> Thank you 
>>>
>>> On Wednesday, August 16, 2023 at 1:37:05 PM UTC-7 
>>> [email protected] wrote:
>>>
>>>> Here's a detailed mathematical explanation of SIn: 
>>>> https://doi.org/10.1038/nbt.1592
>>>>
>>>> Briefly, the normalization process produces fractional representation 
>>>> of quantities, i.e. 0.01, 0.052, etc. These are then log-transformed, 
>>>> which 
>>>> results in values that typically range from -5 to -30, but are always 
>>>> negative because they are log-transforms of values less than 1.
>>>>
>>>> These negative values can be adjusted by applying a scalar to the 
>>>> values (such as +30) so that all values are greater than 0. Alternatively, 
>>>> there is an option in StPeter (-s) where you can specify a total protein 
>>>> amount loaded into the instrument and StPeter will scale all the 
>>>> quantities 
>>>> to that amount. Note that this isn't an absolute value for each protein, 
>>>> because StPeter is standardizing the results to the sum of all *observed 
>>>> *proteins (not the ones you didn't identify), but it still puts all 
>>>> values in an easy to conceptualize, and positive, scale.
>>>>
>>>> These standardized numbers are comparable across samples (to obtain 
>>>> ratios) so long as the samples were acquired with the same instrument 
>>>> method and chromatography conditions.
>>>>
>>>> Cheers,
>>>> Mike
>>>>
>>>> On Wednesday, August 16, 2023 at 10:53:34 AM UTC-7 sudarshan kumar 
>>>> wrote:
>>>>
>>>>> and 
>>>>> in StPeter what does negative SIn scor emean? I see all of them being 
>>>>> negative 
>>>>>
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